Instructions to use jrubiosainz/microduck-game-roller-ppo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use jrubiosainz/microduck-game-roller-ppo with Microduck:
# Replace SLOT with the slot specified in the model card (walk, stand, sitstand, ground_pick, kick_left, kick_right, roulade). sudo robotctl policy load SLOT jrubiosainz/microduck-game-roller-ppo
- Notebooks
- Google Colab
- Kaggle
MICRODUCK GAME roller (PPO)
Pollen's roller-sprint-2m reference fine-tuned with PPO on a CPU inside the Arena's own simulator: 1.94 s on the official seeds, 200/200 finishes and 0 falls on seeds 1-200. Ignores the command; simulation only.
An entry for the 2 m Roller Sprint of the Microduck Arena. Simulation only — see below.
What it is
A fine-tune of pollen-robotics/microduck-roller-sprint-2m-reference (revision c72fb925,
policy.onnx sha256 01edf63a529a…). The network has the reference's own shape (61 → 512 → 256 → 128 → 14,
ELU) and keeps its input normalizer frozen; its weights were trained further with PPO on a CPU, inside the
Arena's own runner and physics (MuJoCo 3.10.0, runner version 4), on this event's course:
- chain: Pollen's roller-sprint-2m reference -> 875 PPO iterations on roller-sprint-2m (run ro1, whose first 15 iterations trained only a fresh critic) -> 700 PPO iterations on roller-sprint-2m (run ro2: the resulting actor with a fresh critic, which alone trained for the first 25 iterations); internal forward command 1.1 m/s throughout
- selection: checkpoint
it00700, picked among four checkpoints of two roller runs (ro1 and ro2), all run on the 200 seeds and noise rows of the table below: 1.940 s on the official seeds 1–5 in the trainer's check (after it also finished 20 held-out seeds, 1001–1020, with no fall), the lowest official time of the four once the ones that fell are set aside (ro2 it725 at 1.936 s, which fell on two of seeds 1–200 and fell one time in the noise rows), the lowest score on seeds 1–200 and no fall in any row; - reward: forward progress while the race clock runs, small penalties for sideways speed, yaw rate, drifting toward the walls and falling; in run ro2 an episode also ends when the duck crosses the line, as the Arena's run does, with a one-off bonus equal to the reward of running at 1.5 m/s for every step left before the 3.7 s horizon; 96 parallel copies of the course in runs ro1 and ro2, 64 control steps each per iteration, the Arena's own start perturbation;
- command: a fixed internal command (forward speed
1.1m/s, zero lateral speed, yaw rate, head and body) is written into the 13 command slots of the observation inside the graph, so the commanded twist is ignored.
No GPU, no new data, no paid compute.
Results
| local run, Arena runner | score (non-finish = 40 s) | mean of finishers | finished |
|---|---|---|---|
| seeds 1–5 (the official set) | 1.940 s | 1.940 s (worst 1.94) | 5/5 |
| seeds 1-200 | 1.945 s | 1.945 s (p90 1.96, worst 1.98) | 200/200, 0 falls |
| seeds 1–5 with observation noise σ = 1e-04, 4 runs per seed | 1.940–1.952 s (range) | — | 20/20 |
| seeds 1–5 with observation noise σ = 1e-03, 4 runs per seed | 1.940–1.948 s (range) | — | 20/20 |
The noise rows add Gaussian noise to every observation the policy sees: a stand-in for the float-rounding differences of another machine, which a chaotic gait amplifies.
arena score --event roller-sprint-2m on this file (every speed of its sweep gives the same time, since the command is ignored; the sweep then reports the lowest):
sweep 18 commanded speeds 0.30–2.00 m/s
0.30 m/s 1.94s
0.40 m/s 1.94s
0.50 m/s 1.94s
0.60 m/s 1.94s
0.70 m/s 1.94s
0.80 m/s 1.94s
0.90 m/s 1.94s
1.00 m/s 1.94s
1.10 m/s 1.94s
1.20 m/s 1.94s
1.30 m/s 1.94s
1.40 m/s 1.94s
1.50 m/s 1.94s
1.60 m/s 1.94s
1.70 m/s 1.94s
1.80 m/s 1.94s
1.90 m/s 1.94s
2.00 m/s 1.94s
scored at 0.30 m/s
seed 1: finish 1.94s
seed 2: finish 1.94s
seed 3: finish 1.94s
seed 4: finish 1.94s
seed 5: finish 1.94s
score 1.940s · 5/5 finished · replay from seed 3
Local times are indicative: the Arena's machine can differ by a few hundredths of a second.
History
This checkpoint was first staged as a new revision of jrubiosainz/microduck-game-roller, the repo of our earlier 2 m Roller Sprint entries. That repo's latest revisions hold a different entry, a remix of other players' policies that carries their LICENSE and NOTICE. This checkpoint owes nothing to those policies, so it is published here instead, in a repo that holds only our own PPO line on Pollen's reference.
Run ro1's iteration-875 checkpoint, the starting point of run ro2, ran in the Arena from jrubiosainz/microduck-game-roller@9b2d884f: 2.152 s.
Not for a real robot
This policy ignores the commanded twist: it always runs straight ahead on its roller skates at its own pace and never stops by itself. It has only ever run in simulation and was trained without any sim-to-real randomisation. Do not load it on a physical Microduck.
Files
policy.onnx— one inputobs[1, 61], one outputactions[1, 14], 50 Hz, raw observations (the normalizer is baked in). Itsmetadata_propsare the base reference's (withoutrun_path) plusmicroduck_game_*provenance keys.manifest.json— schema 2 of the microduck policy manifest, built with Pollen's ownmicroduck_rlpublish code.
Credits
Base policy, robot, simulator, Arena and publishing tools: Pollen Robotics.
The base repo declares no licence of its own; it is credited here and linked as base_model.
PPO fine-tune: the MICRODUCK GAME project (jrubiosainz), built with GitHub Copilot.
Resumen (español)
Participante del Sprint sobre patines de 2 m de la Microduck Arena, solo para simulación. Es la red de referencia de Pollen
Robotics reentrenada con PPO en CPU dentro del simulador del propio Arena. Ignora la velocidad que se le ordena: no
debe cargarse en un robot real.
Se publica en este repo aparte porque jrubiosainz/microduck-game-roller contiene ahora un remix de políticas de otros participantes, con su propia licencia y aviso.
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