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update eval configs

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allenzren
2025-02-04 11:51:47 -05:00
committed by Allen Z. Ren
parent ace2bbdab9
commit 169a16dda7
27 changed files with 81 additions and 28 deletions
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cfg/gym/eval/halfcheetah-v2/eval_diffusion_mlp.yaml
+3 -1
View File
@@ -19,6 +19,7 @@ denoising_steps: 20
cond_steps: 1
horizon_steps: 4
act_steps: 4
ft_denoising_steps: 10
n_steps: 250 # each episode can take maximum (max_episode_steps / act_steps, =250 right now) steps but may finish earlier in gym. We only count episodes finished within n_steps for evaluation.
render_num: 0
@@ -40,7 +41,8 @@ env:
reset_within_step: True
model:
_target_: model.diffusion.diffusion.DiffusionModel
_target_: model.diffusion.diffusion_eval_ft.DiffusionEvalFT
ft_denoising_steps: ${ft_denoising_steps}
predict_epsilon: True
denoised_clip_value: 1.0
#
cfg/gym/eval/hopper-v2/eval_diffusion_mlp.yaml
+3 -1
View File
@@ -19,6 +19,7 @@ denoising_steps: 20
cond_steps: 1
horizon_steps: 4
act_steps: 4
ft_denoising_steps: 10
n_steps: 250 # each episode can take maximum (max_episode_steps / act_steps, =250 right now) steps but may finish earlier in gym. We only count episodes finished within n_steps for evaluation.
render_num: 0
@@ -40,7 +41,8 @@ env:
reset_within_step: True
model:
_target_: model.diffusion.diffusion.DiffusionModel
_target_: model.diffusion.diffusion_eval_ft.DiffusionEvalFT
ft_denoising_steps: ${ft_denoising_steps}
predict_epsilon: True
denoised_clip_value: 1.0
#
cfg/gym/eval/kitchen-v0/eval_diffusion_mlp.yaml
+3 -1
View File
@@ -19,6 +19,7 @@ denoising_steps: 20
cond_steps: 1
horizon_steps: 4
act_steps: 4
ft_denoising_steps: 10
n_steps: 70
render_num: 0
@@ -40,7 +41,8 @@ env:
reset_within_step: True
model:
_target_: model.diffusion.diffusion.DiffusionModel
_target_: model.diffusion.diffusion_eval_ft.DiffusionEvalFT
ft_denoising_steps: ${ft_denoising_steps}
predict_epsilon: True
denoised_clip_value: 1.0
#
cfg/gym/eval/walker2d-v2/eval_diffusion_mlp.yaml
+3 -1
View File
@@ -19,6 +19,7 @@ denoising_steps: 20
cond_steps: 1
horizon_steps: 4
act_steps: 4
ft_denoising_steps: 10
n_steps: 250 # each episode can take maximum (max_episode_steps / act_steps, =250 right now) steps but may finish earlier in gym. We only count episodes finished within n_steps for evaluation.
render_num: 0
@@ -40,7 +41,8 @@ env:
reset_within_step: True
model:
_target_: model.diffusion.diffusion.DiffusionModel
_target_: model.diffusion.diffusion_eval_ft.DiffusionEvalFT
ft_denoising_steps: ${ft_denoising_steps}
predict_epsilon: True
denoised_clip_value: 1.0
#