File size: 1,570 Bytes
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action_dim: 3
horizon_steps: 4
act_steps: 4
obs_dim: 11
cond_steps: 1
_target_: agent.eval.eval_shortcut_agent.EvalShortCutAgent
name: hopper-medium-v2_eval_shortcut_mlp_ta4_td4
logdir: log/gym/eval/hopper-medium-v2_eval_shortcut_mlp_ta4_td4/2025-04-28_12-39-47_42
base_policy_path: log/gym/pretrain/hopper-medium-v2_pre_shortcut_mlp_ta4_td20/2025-04-25_08-57-19_42/state_10.pt
normalization_path: data/gym/hopper-medium-v2/normalization.npz
seed: 42
device: cuda:4
denoising_steps: 4
denoising_step_list:
- 4
n_steps: 500
render_num: 0
env:
n_envs: 40
name: hopper-medium-v2
max_episode_steps: 1000
reset_at_iteration: false
save_video: false
best_reward_threshold_for_success: 3
wrappers:
mujoco_locomotion_lowdim:
normalization_path: data/gym/hopper-medium-v2/normalization.npz
multi_step:
n_obs_steps: 1
n_action_steps: 4
max_episode_steps: 1000
reset_within_step: true
model:
_target_: model.flow.shortcutflow.ShortCutFlow
network:
_target_: model.flow.mlp_shortcut.ShortCutFlowMLP
horizon_steps: 4
action_dim: 3
cond_dim: 11
td_emb_dim: 16
mlp_dims:
- 512
- 512
- 512
cond_mlp_dims:
- 64
- 16
activation_type: ReLU
out_activation_type: Identity
use_layernorm: false
residual_style: true
embed_combination_type: add
device: cuda:4
horizon_steps: 4
action_dim: 3
act_min: -1
act_max: 1
obs_dim: 11
max_denoising_steps: 4
seed: 42
self_consistency_k: 0.25
delta: 1.0e-05
sample_t_type: uniform
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