dreamerv3-torch/configs.yaml
2023-02-12 22:35:25 +09:00

137 lines
2.5 KiB
YAML

defaults:
logdir: null
traindir: null
evaldir: null
offline_traindir: ''
offline_evaldir: ''
seed: 0
steps: 5e5
eval_every: 1e4
log_every: 1e4
reset_every: 0
#gpu_growth: True
device: 'cuda:0'
precision: 16
debug: False
expl_gifs: False
# Environment
task: 'dmc_walker_walk'
size: [64, 64]
envs: 1
action_repeat: 2
time_limit: 1000
grayscale: False
prefill: 2500
eval_noise: 0.0
reward_trans: 'symlog'
obs_trans: 'normalize'
critic_trans: 'symlog'
reward_EMA: True
# Model
dyn_cell: 'gru_layer_norm'
dyn_hidden: 512
dyn_deter: 512
dyn_stoch: 32
dyn_discrete: 32
dyn_input_layers: 1
dyn_output_layers: 1
dyn_rec_depth: 1
dyn_shared: False
dyn_mean_act: 'none'
dyn_std_act: 'sigmoid2'
dyn_min_std: 0.1
dyn_temp_post: True
grad_heads: ['image', 'reward', 'discount']
units: 256
reward_layers: 2
discount_layers: 2
value_layers: 2
actor_layers: 2
act: 'SiLU'
norm: 'LayerNorm'
cnn_depth: 32
encoder_kernels: [3, 3, 3, 3]
decoder_kernels: [3, 3, 3, 3]
# changed here
value_head: 'twohot'
reward_head: 'twohot'
kl_lscale: '0.1'
kl_rscale: '0.5'
kl_free: '1.0'
kl_forward: False
pred_discount: True
discount_scale: 1.0
reward_scale: 1.0
weight_decay: 0.0
unimix_ratio: 0.01
# Training
batch_size: 16
batch_length: 64
train_every: 5
train_steps: 1
pretrain: 100
model_lr: 1e-4
opt_eps: 1e-8
grad_clip: 1000
value_lr: 3e-5
actor_lr: 3e-5
ac_opt_eps: 1e-5
value_grad_clip: 100
actor_grad_clip: 100
dataset_size: 0
oversample_ends: False
slow_value_target: True
slow_actor_target: True
slow_target_update: 50
slow_target_fraction: 0.01
opt: 'adam'
# Behavior.
discount: 0.997
discount_lambda: 0.95
imag_horizon: 15
imag_gradient: 'dynamics'
imag_gradient_mix: '0.1'
imag_sample: True
actor_dist: 'trunc_normal'
actor_entropy: '3e-4'
actor_state_entropy: 0.0
actor_init_std: 1.0
actor_min_std: 0.1
actor_disc: 5
actor_temp: 0.1
actor_outscale: 0.0
expl_amount: 0.0
eval_state_mean: False
collect_dyn_sample: True
behavior_stop_grad: True
value_decay: 0.0
future_entropy: False
# Exploration
expl_behavior: 'greedy'
expl_until: 0
expl_extr_scale: 0.0
expl_intr_scale: 1.0
disag_target: 'stoch'
disag_log: True
disag_models: 10
disag_offset: 1
disag_layers: 4
disag_units: 400
disag_action_cond: False
debug:
debug: True
pretrain: 1
prefill: 1
train_steps: 1
batch_size: 10
batch_length: 20