Model: dunnolab/Vintix
Author: dunnolab
Pipeline: reinforcement-learning
Tags: in-context-reinforcement-learning, reinforcement-learning, in-context-learning, metaworld, mujoco, bi-dexhands, industrial-benchmark, en, arxiv:2501.19400, license:apache-2.0, model-index, region:us
Card metadata: license: apache-2.0
language: en
tags: in-context-reinforcement-learning, reinforcement-learning, in-context-learning, metaworld, mujoco, bi-dexhands, industrial-benchmark
model-index: name: dunnolab/Vintix
results: task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: MuJoCo
type: mujoco
metrics: type: iqm_normalized_95
value: 0.99
name: Normalized Score IQM (95% CI)
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: Meta-World
type: metaworld
metrics: type: iqm_normalized_95
value: 0.99
name: Normalized Score IQM (95% CI)
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: Bi-DexHands
type: bi-dexhands
metrics: type: iqm_normalized_95
value: 0.92
name: Normalized Score IQM (95% CI)
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: Industrial-Benchmark
type: industrial-benchmark
metrics: type: iqm_normalized_95
value: 0.99
name: Normalized Score IQM (95% CI)
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: ant_v4
type: MuJoCo
metrics: type: total_reward
value: 6315.00 +/- 675.00
name: Total reward
verified: no, type: normalized_total_reward
value: 0.98 +/- 0.10
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: halfcheetah_v4
type: MuJoCo
metrics: type: total_reward
value: 7226.50 +/- 241.50
name: Total reward
verified: no, type: normalized_total_reward
value: 0.93 +/- 0.03
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: hopper_v4
type: MuJoCo
metrics: type: total_reward
value: 2794.60 +/- 612.62
name: Total reward
verified: no, type: normalized_total_reward
value: 0.86 +/- 0.19
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: humanoid_v4
type: MuJoCo
metrics: type: total_reward
value: 7376.26 +/- 0.00
name: Total reward
verified: no, type: normalized_total_reward
value: 0.97 +/- 0.00
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: humanoidstandup_v4
type: MuJoCo
metrics: type: total_reward
value: 320567.82 +/- 58462.11
name: Total reward
verified: no, type: normalized_total_reward
value: 1.02 +/- 0.21
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: inverteddoublependulum_v4
type: MuJoCo
metrics: type: total_reward
value: 6105.75 +/- 4368.65
name: Total reward
verified: no, type: normalized_total_reward
value: 0.65 +/- 0.47
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: invertedpendulum_v4
type: MuJoCo
metrics: type: total_reward
value: 1000.00 +/- 0.00
name: Total reward
verified: no, type: normalized_total_reward
value: 1.00 +/- 0.00
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: pusher_v4
type: MuJoCo
metrics: type: total_reward
value: -37.82 +/- 8.72
name: Total reward
verified: no, type: normalized_total_reward
value: 1.02 +/- 0.08
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: reacher_v4
type: MuJoCo
metrics: type: total_reward
value: -6.25 +/- 2.63
name: Total reward
verified: no, type: normalized_total_reward
value: 0.98 +/- 0.07
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: swimmer_v4
type: MuJoCo
metrics: type: total_reward
value: 93.20 +/- 5.40
name: Total reward
verified: no, type: normalized_total_reward
value: 0.98 +/- 0.06
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: walker2d_v4
type: MuJoCo
metrics: type: total_reward
value: 5400.00 +/- 107.95
name: Total reward
verified: no, type: normalized_total_reward
value: 1.00 +/- 0.02
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: assembly-v2
type: Meta-World
metrics: type: total_reward
value: 307.08 +/- 25.20
name: Total reward
verified: no, type: normalized_total_reward
value: 1.04 +/- 0.10
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: basketball-v2
type: Meta-World
metrics: type: total_reward
value: 568.04 +/- 60.72
name: Total reward
verified: no, type: normalized_total_reward
value: 1.02 +/- 0.11
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: bin-picking-v2
type: Meta-World
metrics: type: total_reward
value: 7.88 +/- 4.28
name: Total reward
verified: no, type: normalized_total_reward
value: 0.01 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: box-close-v2
type: Meta-World
metrics: type: total_reward
value: 61.75 +/- 13.54
name: Total reward
verified: no, type: normalized_total_reward
value: -0.04 +/- 0.03
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: button-press-v2
type: Meta-World
metrics: type: total_reward
value: 624.67 +/- 42.77
name: Total reward
verified: no, type: normalized_total_reward
value: 0.97 +/- 0.07
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: button-press-topdown-v2
type: Meta-World
metrics: type: total_reward
value: 449.36 +/- 62.16
name: Total reward
verified: no, type: normalized_total_reward
value: 0.94 +/- 0.14
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: button-press-topdown-wall-v2
type: Meta-World
metrics: type: total_reward
value: 482.08 +/- 32.48
name: Total reward
verified: no, type: normalized_total_reward
value: 0.97 +/- 0.07
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: button-press-wall-v2
type: Meta-World
metrics: type: total_reward
value: 672.00 +/- 26.48
name: Total reward
verified: no, type: normalized_total_reward
value: 1.00 +/- 0.04
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: coffee-button-v2
type: Meta-World
metrics: type: total_reward
value: 719.00 +/- 41.10
name: Total reward
verified: no, type: normalized_total_reward
value: 1.00 +/- 0.06
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: coffee-pull-v2
type: Meta-World
metrics: type: total_reward
value: 26.04 +/- 56.12
name: Total reward
verified: no, type: normalized_total_reward
value: 0.07 +/- 0.20
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: coffee-push-v2
type: Meta-World
metrics: type: total_reward
value: 571.01 +/- 112.28
name: Total reward
verified: no, type: normalized_total_reward
value: 1.01 +/- 0.20
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: dial-turn-v2
type: Meta-World
metrics: type: total_reward
value: 783.90 +/- 53.17
name: Total reward
verified: no, type: normalized_total_reward
value: 0.99 +/- 0.07
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: disassemble-v2
type: Meta-World
metrics: type: total_reward
value: 523.60 +/- 58.15
name: Total reward
verified: no, type: normalized_total_reward
value: 1.00 +/- 0.12
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: door-close-v2
type: Meta-World
metrics: type: total_reward
value: 538.10 +/- 25.76
name: Total reward
verified: no, type: normalized_total_reward
value: 1.02 +/- 0.05
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: door-lock-v2
type: Meta-World
metrics: type: total_reward
value: 356.51 +/- 249.44
name: Total reward
verified: no, type: normalized_total_reward
value: 0.35 +/- 0.36
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: door-open-v2
type: Meta-World
metrics: type: total_reward
value: 581.33 +/- 26.33
name: Total reward
verified: no, type: normalized_total_reward
value: 0.99 +/- 0.05
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: door-unlock-v2
type: Meta-World
metrics: type: total_reward
value: 352.86 +/- 147.78
name: Total reward
verified: no, type: normalized_total_reward
value: 0.21 +/- 0.26
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: drawer-close-v2
type: Meta-World
metrics: type: total_reward
value: 838.88 +/- 7.41
name: Total reward
verified: no, type: normalized_total_reward
value: 0.96 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: drawer-open-v2
type: Meta-World
metrics: type: total_reward
value: 493.00 +/- 3.57
name: Total reward
verified: no, type: normalized_total_reward
value: 1.00 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: faucet-close-v2
type: Meta-World
metrics: type: total_reward
value: 749.46 +/- 14.83
name: Total reward
verified: no, type: normalized_total_reward
value: 0.99 +/- 0.03
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: faucet-open-v2
type: Meta-World
metrics: type: total_reward
value: 732.47 +/- 15.23
name: Total reward
verified: no, type: normalized_total_reward
value: 0.97 +/- 0.03
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: hammer-v2
type: Meta-World
metrics: type: total_reward
value: 669.31 +/- 69.56
name: Total reward
verified: no, type: normalized_total_reward
value: 0.97 +/- 0.12
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: hand-insert-v2
type: Meta-World
metrics: type: total_reward
value: 142.81 +/- 146.64
name: Total reward
verified: no, type: normalized_total_reward
value: 0.19 +/- 0.20
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: handle-press-v2
type: Meta-World
metrics: type: total_reward
value: 835.30 +/- 114.19
name: Total reward
verified: no, type: normalized_total_reward
value: 1.00 +/- 0.15
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: handle-press-side-v2
type: Meta-World
metrics: type: total_reward
value: 852.96 +/- 16.08
name: Total reward
verified: no, type: normalized_total_reward
value: 0.99 +/- 0.02
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: handle-pull-v2
type: Meta-World
metrics: type: total_reward
value: 701.10 +/- 13.82
name: Total reward
verified: no, type: normalized_total_reward
value: 1.00 +/- 0.02
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: handle-pull-side-v2
type: Meta-World
metrics: type: total_reward
value: 493.10 +/- 53.65
name: Total reward
verified: no, type: normalized_total_reward
value: 1.00 +/- 0.11
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: lever-pull-v2
type: Meta-World
metrics: type: total_reward
value: 548.72 +/- 81.12
name: Total reward
verified: no, type: normalized_total_reward
value: 0.96 +/- 0.16
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: peg-insert-side-v2
type: Meta-World
metrics: type: total_reward
value: 352.43 +/- 137.24
name: Total reward
verified: no, type: normalized_total_reward
value: 1.01 +/- 0.40
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: peg-unplug-side-v2
type: Meta-World
metrics: type: total_reward
value: 401.52 +/- 175.27
name: Total reward
verified: no, type: normalized_total_reward
value: 0.75 +/- 0.34
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: pick-out-of-hole-v2
type: Meta-World
metrics: type: total_reward
value: 364.20 +/- 79.56
name: Total reward
verified: no, type: normalized_total_reward
value: 0.91 +/- 0.20
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: pick-place-v2
type: Meta-World
metrics: type: total_reward
value: 414.02 +/- 91.10
name: Total reward
verified: no, type: normalized_total_reward
value: 0.98 +/- 0.22
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: pick-place-wall-v2
type: Meta-World
metrics: type: total_reward
value: 553.18 +/- 84.72
name: Total reward
verified: no, type: normalized_total_reward
value: 1.04 +/- 0.16
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: plate-slide-v2
type: Meta-World
metrics: type: total_reward
value: 531.98 +/- 156.94
name: Total reward
verified: no, type: normalized_total_reward
value: 0.99 +/- 0.34
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: plate-slide-back-v2
type: Meta-World
metrics: type: total_reward
value: 703.93 +/- 108.27
name: Total reward
verified: no, type: normalized_total_reward
value: 0.99 +/- 0.16
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: plate-slide-back-side-v2
type: Meta-World
metrics: type: total_reward
value: 721.29 +/- 62.15
name: Total reward
verified: no, type: normalized_total_reward
value: 0.99 +/- 0.09
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: plate-slide-side-v2
type: Meta-World
metrics: type: total_reward
value: 578.24 +/- 143.73
name: Total reward
verified: no, type: normalized_total_reward
value: 0.83 +/- 0.22
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: push-v2
type: Meta-World
metrics: type: total_reward
value: 729.33 +/- 104.40
name: Total reward
verified: no, type: normalized_total_reward
value: 0.97 +/- 0.14
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: push-back-v2
type: Meta-World
metrics: type: total_reward
value: 372.16 +/- 112.75
name: Total reward
verified: no, type: normalized_total_reward
value: 0.95 +/- 0.29
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: push-wall-v2
type: Meta-World
metrics: type: total_reward
value: 741.68 +/- 14.84
name: Total reward
verified: no, type: normalized_total_reward
value: 0.99 +/- 0.02
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: reach-v2
type: Meta-World
metrics: type: total_reward
value: 684.45 +/- 136.55
name: Total reward
verified: no, type: normalized_total_reward
value: 1.01 +/- 0.26
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: reach-wall-v2
type: Meta-World
metrics: type: total_reward
value: 738.02 +/- 100.96
name: Total reward
verified: no, type: normalized_total_reward
value: 0.98 +/- 0.17
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shelf-place-v2
type: Meta-World
metrics: type: total_reward
value: 268.34 +/- 29.07
name: Total reward
verified: no, type: normalized_total_reward
value: 1.01 +/- 0.11
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: soccer-v2
type: Meta-World
metrics: type: total_reward
value: 438.44 +/- 189.63
name: Total reward
verified: no, type: normalized_total_reward
value: 0.80 +/- 0.35
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: stick-pull-v2
type: Meta-World
metrics: type: total_reward
value: 483.98 +/- 83.25
name: Total reward
verified: no, type: normalized_total_reward
value: 0.92 +/- 0.16
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: stick-push-v2
type: Meta-World
metrics: type: total_reward
value: 563.07 +/- 173.40
name: Total reward
verified: no, type: normalized_total_reward
value: 0.90 +/- 0.28
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: sweep-v2
type: Meta-World
metrics: type: total_reward
value: 487.19 +/- 60.02
name: Total reward
verified: no, type: normalized_total_reward
value: 0.94 +/- 0.12
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: sweep-into-v2
type: Meta-World
metrics: type: total_reward
value: 798.80 +/- 15.62
name: Total reward
verified: no, type: normalized_total_reward
value: 1.00 +/- 0.02
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: window-close-v2
type: Meta-World
metrics: type: total_reward
value: 562.48 +/- 91.17
name: Total reward
verified: no, type: normalized_total_reward
value: 0.95 +/- 0.17
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: window-open-v2
type: Meta-World
metrics: type: total_reward
value: 573.69 +/- 93.98
name: Total reward
verified: no, type: normalized_total_reward
value: 0.96 +/- 0.17
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandblockstack
type: Bi-DexHands
metrics: type: total_reward
value: 347.40 +/- 50.60
name: Total reward
verified: no, type: normalized_total_reward
value: 1.17 +/- 0.23
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandbottlecap
type: Bi-DexHands
metrics: type: total_reward
value: 338.25 +/- 81.25
name: Total reward
verified: no, type: normalized_total_reward
value: 0.81 +/- 0.25
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandcatchabreast
type: Bi-DexHands
metrics: type: total_reward
value: 11.81 +/- 21.28
name: Total reward
verified: no, type: normalized_total_reward
value: 0.17 +/- 0.32
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandcatchover2underarm
type: Bi-DexHands
metrics: type: total_reward
value: 31.60 +/- 7.20
name: Total reward
verified: no, type: normalized_total_reward
value: 0.92 +/- 0.24
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandcatchunderarm
type: Bi-DexHands
metrics: type: total_reward
value: 18.21 +/- 9.46
name: Total reward
verified: no, type: normalized_total_reward
value: 0.72 +/- 0.39
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhanddoorcloseinward
type: Bi-DexHands
metrics: type: total_reward
value: 3.97 +/- 0.15
name: Total reward
verified: no, type: normalized_total_reward
value: 0.36 +/- 0.02
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhanddoorcloseoutward
type: Bi-DexHands
metrics: type: total_reward
value: 358.50 +/- 4.50
name: Total reward
verified: no, type: normalized_total_reward
value: -1.27 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhanddooropeninward
type: Bi-DexHands
metrics: type: total_reward
value: 108.25 +/- 8.50
name: Total reward
verified: no, type: normalized_total_reward
value: 0.29 +/- 0.02
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhanddooropenoutward
type: Bi-DexHands
metrics: type: total_reward
value: 83.65 +/- 12.10
name: Total reward
verified: no, type: normalized_total_reward
value: 0.13 +/- 0.02
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandgraspandplace
type: Bi-DexHands
metrics: type: total_reward
value: 485.15 +/- 89.10
name: Total reward
verified: no, type: normalized_total_reward
value: 0.97 +/- 0.18
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandkettle
type: Bi-DexHands
metrics: type: total_reward
value: -450.47 +/- 0.00
name: Total reward
verified: no, type: normalized_total_reward
value: -0.99 +/- 0.00
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandliftunderarm
type: Bi-DexHands
metrics: type: total_reward
value: 377.92 +/- 13.24
name: Total reward
verified: no, type: normalized_total_reward
value: 0.95 +/- 0.03
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandover
type: Bi-DexHands
metrics: type: total_reward
value: 33.01 +/- 0.96
name: Total reward
verified: no, type: normalized_total_reward
value: 0.95 +/- 0.03
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandpen
type: Bi-DexHands
metrics: type: total_reward
value: 98.80 +/- 83.60
name: Total reward
verified: no, type: normalized_total_reward
value: 0.52 +/- 0.44
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandpushblock
type: Bi-DexHands
metrics: type: total_reward
value: 445.60 +/- 2.20
name: Total reward
verified: no, type: normalized_total_reward
value: 0.98 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandreorientation
type: Bi-DexHands
metrics: type: total_reward
value: 2798.00 +/- 2112.00
name: Total reward
verified: no, type: normalized_total_reward
value: 0.89 +/- 0.66
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandscissors
type: Bi-DexHands
metrics: type: total_reward
value: 747.95 +/- 7.65
name: Total reward
verified: no, type: normalized_total_reward
value: 1.03 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandswingcup
type: Bi-DexHands
metrics: type: total_reward
value: 3775.50 +/- 583.70
name: Total reward
verified: no, type: normalized_total_reward
value: 0.95 +/- 0.13
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandswitch
type: Bi-DexHands
metrics: type: total_reward
value: 268.25 +/- 2.35
name: Total reward
verified: no, type: normalized_total_reward
value: 0.95 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: shadowhandtwocatchunderarm
type: Bi-DexHands
metrics: type: total_reward
value: 2.17 +/- 0.67
name: Total reward
verified: no, type: normalized_total_reward
value: 0.03 +/- 0.03
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-0-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -191.39 +/- 22.96
name: Total reward
verified: no, type: normalized_total_reward
value: 0.94 +/- 0.13
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-5-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -194.01 +/- 3.66
name: Total reward
verified: no, type: normalized_total_reward
value: 1.00 +/- 0.02
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-10-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -213.28 +/- 2.01
name: Total reward
verified: no, type: normalized_total_reward
value: 1.01 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-15-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -227.82 +/- 4.29
name: Total reward
verified: no, type: normalized_total_reward
value: 1.01 +/- 0.02
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-20-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -259.99 +/- 22.70
name: Total reward
verified: no, type: normalized_total_reward
value: 0.95 +/- 0.11
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-25-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -282.28 +/- 20.70
name: Total reward
verified: no, type: normalized_total_reward
value: 0.95 +/- 0.11
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-30-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -307.02 +/- 19.23
name: Total reward
verified: no, type: normalized_total_reward
value: 0.90 +/- 0.10
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-35-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -314.36 +/- 5.62
name: Total reward
verified: no, type: normalized_total_reward
value: 1.00 +/- 0.03
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-40-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -339.34 +/- 9.57
name: Total reward
verified: no, type: normalized_total_reward
value: 0.99 +/- 0.05
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-45-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -366.63 +/- 7.47
name: Total reward
verified: no, type: normalized_total_reward
value: 0.97 +/- 0.04
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-50-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -395.94 +/- 17.65
name: Total reward
verified: no, type: normalized_total_reward
value: 0.91 +/- 0.09
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-55-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -403.73 +/- 2.03
name: Total reward
verified: no, type: normalized_total_reward
value: 0.99 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-60-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -434.25 +/- 4.12
name: Total reward
verified: no, type: normalized_total_reward
value: 0.98 +/- 0.02
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-65-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -480.31 +/- 8.63
name: Total reward
verified: no, type: normalized_total_reward
value: 0.86 +/- 0.04
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-70-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -480.76 +/- 5.98
name: Total reward
verified: no, type: normalized_total_reward
value: 0.95 +/- 0.03
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-75-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -476.83 +/- 2.44
name: Total reward
verified: no, type: normalized_total_reward
value: 0.99 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-80-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -497.13 +/- 2.95
name: Total reward
verified: no, type: normalized_total_reward
value: 0.96 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-85-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -513.83 +/- 3.06
name: Total reward
verified: no, type: normalized_total_reward
value: 0.98 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-90-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -532.70 +/- 3.61
name: Total reward
verified: no, type: normalized_total_reward
value: 0.97 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-95-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -557.42 +/- 3.81
name: Total reward
verified: no, type: normalized_total_reward
value: 0.97 +/- 0.01
name: Expert normalized total reward
verified: no, task: type: in-context-reinforcement-learning
name: In-Context Reinforcement Learning
dataset: name: industrial-benchmark-100-v1
type: Industrial-Benchmark
metrics: type: total_reward
value: -574.57 +/- 4.37
name: Total reward
verified: no, type: normalized_total_reward
value: 0.97 +/- 0.01
name: Expert normalized total reward
verified: no
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Created: 2025-03-03 11:23:59