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29b0e22 | 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 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | _target_: agent.eval.eval_diffusion_agent.EvalDiffusionAgent
name: walker2d-medium-v2_eval_diffusion_mlp_ta4_td20
logdir: ${oc.env:REINFLOW_LOG_DIR}/gym/eval/walker2d-medium-v2_eval_diffusion_mlp_ta4_td20/2025-04-16_00-31-02_42
base_policy_path: log/gym/pretrain/walker2d-medium-v2_pre_diffusion_mlp_ta4_td20/2024-06-12_23-06-12/checkpoint/state_3000.pt
normalization_path: ${oc.env:REINFLOW_DATA_DIR}/gym/walker2d-medium-v2/normalization.npz
seed: 42
device: cuda:0
env_name: walker2d-medium-v2
obs_dim: 17
action_dim: 6
denoising_steps: 20
cond_steps: 1
horizon_steps: 4
act_steps: 4
batch_size: 128
n_steps: 500
render_num: 0
env:
n_envs: 40
name: walker2d-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: ${oc.env:REINFLOW_DATA_DIR}/gym/walker2d-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.diffusion.diffusion.DiffusionModel
predict_epsilon: true
denoised_clip_value: 1.0
network_path: log/gym/pretrain/walker2d-medium-v2_pre_diffusion_mlp_ta4_td20/2024-06-12_23-06-12/checkpoint/state_3000.pt
network:
_target_: model.diffusion.mlp_diffusion.DiffusionMLP
time_dim: 16
mlp_dims:
- 512
- 512
- 512
activation_type: ReLU
residual_style: true
cond_dim: 17
horizon_steps: 4
action_dim: 6
horizon_steps: 4
obs_dim: 17
action_dim: 6
denoising_steps: 20
device: cuda:0
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