Spaces:
Running
on
Zero
Running
on
Zero
File size: 1,319 Bytes
2d9a728 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 |
# @package _global_
img_size: 64
# Dreamer defaults
rssm: {ensemble: 1, hidden: 512, deter: 512, stoch: 32, discrete: 32, norm: none, std_act: softplus, min_std: 0.1, single_obs_posterior: false, } # act: elu,
discount_head: {layers: 4, units: 512, norm: none, dist: binary} # act: elu
reward_head: {layers: 4, units: 512, norm: none, dist: mse} # act: elu
kl: {free: 1.0, forward: False, balance: 0.8, free_avg: False, }
loss_scales: {kl: 1.0, reward: 1.0, discount: 1.0, proprio: 1.0}
model_opt: {opt: adam, lr: 3e-4, eps: 1e-5, clip: 1000, wd: 1e-6}
replay: {capacity: 2e6, ongoing: False, minlen: 50, maxlen: 50, prioritize_ends: False}
decoder_inputs: feat
image_dist: normal_unit_std
actor: {layers: 4, units: 512, norm: none, dist: trunc_normal, min_std: 0.1 } # act: elu
critic: {layers: 4, units: 512, norm: none, dist: mse} # act: elu,
actor_opt: {opt: adam, lr: 8e-5, eps: 1e-5, clip: 100, wd: 1e-6}
critic_opt: {opt: adam, lr: 8e-5, eps: 1e-5, clip: 100, wd: 1e-6}
discount: 0.99
discount_lambda: 0.95
slow_target: True
slow_target_update: 100
slow_target_fraction: 1
slow_baseline: True
reward_ema: False
acting_reward_fn: env_reward
clip_rewards: identity
batch_size: 50
batch_length: 50
imag_horizon: 15
eval_state_mean: False
precision: 16
train_every_actions: 10
only_random_actions: False
# |