v0.5 to main (#10)

* v0.5 (#9)

* update idql configs

* update awr configs

* update dipo configs

* update qsm configs

* update dqm configs

* update project version to 0.5.0
This commit is contained in:
Allen Z. Ren
2024-10-07 16:35:13 -04:00
committed by GitHub
parent dd14c5887c
commit e0842e71dc
267 changed files with 6769 additions and 1645 deletions
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 59
action_dim: 14
transition_dim: ${action_dim}
denoising_steps: 20
cond_steps: 1
horizon_steps: 8
@@ -76,7 +75,7 @@ train:
max_adv_weight: 100
beta: 10
buffer_size: 3000
batch_size: 256
batch_size: 1000
replay_ratio: 64
critic_update_ratio: 4
@@ -94,13 +93,13 @@ model:
residual_style: True
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
critic:
_target_: model.common.critic.CriticObs
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
mlp_dims: [256, 256, 256]
activation_type: Mish
residual_style: True
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
obs_dim: ${obs_dim}
action_dim: ${action_dim}
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 59
action_dim: 14
transition_dim: ${action_dim}
denoising_steps: 20
cond_steps: 1
horizon_steps: 8
@@ -73,11 +72,12 @@ train:
num: 0
# DIPO specific
scale_reward_factor: 1
eta: 0.0001
target_ema_rate: 0.005
buffer_size: 1000000
action_lr: 0.0001
action_gradient_steps: 10
buffer_size: 400000
batch_size: 5000
replay_ratio: 64
replay_ratio: 16
batch_size: 1000
model:
_target_: model.diffusion.diffusion_dipo.DIPODiffusion
@@ -93,7 +93,7 @@ model:
residual_style: True
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
critic:
_target_: model.common.critic.CriticObsAct
action_dim: ${action_dim}
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 59
action_dim: 14
transition_dim: ${action_dim}
denoising_steps: 20
cond_steps: 1
horizon_steps: 8
@@ -73,10 +72,11 @@ train:
num: 0
# DQL specific
scale_reward_factor: 1
target_ema_rate: 0.005
buffer_size: 1000000
eta: 1.0
buffer_size: 400000
batch_size: 5000
replay_ratio: 64
replay_ratio: 16
batch_size: 1000
model:
_target_: model.diffusion.diffusion_dql.DQLDiffusion
@@ -92,7 +92,7 @@ model:
residual_style: True
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
critic:
_target_: model.common.critic.CriticObsAct
action_dim: ${action_dim}
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 59
action_dim: 14
transition_dim: ${action_dim}
denoising_steps: 20
cond_steps: 1
horizon_steps: 8
@@ -77,9 +76,9 @@ train:
eval_sample_num: 10 # how many samples to score during eval
critic_tau: 0.001 # rate of target q network update
use_expectile_exploration: True
buffer_size: 3000
batch_size: 512
replay_ratio: 16
buffer_size: 5000 # * n_envs
replay_ratio: 128
batch_size: 1000
model:
_target_: model.diffusion.diffusion_idql.IDQLDiffusion
@@ -95,7 +94,7 @@ model:
residual_style: True
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
critic_q:
_target_: model.common.critic.CriticObsAct
action_dim: ${action_dim}
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 59
action_dim: 14
transition_dim: ${action_dim}
denoising_steps: 20
ft_denoising_steps: 10
cond_steps: 1
@@ -100,7 +99,7 @@ model:
residual_style: True
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
critic:
_target_: model.common.critic.CriticObs
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 18
action_dim: 14
transition_dim: ${action_dim}
denoising_steps: 100
ft_denoising_steps: 5
cond_steps: 1
@@ -145,7 +144,7 @@ model:
img_cond_steps: ${img_cond_steps}
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
critic:
_target_: model.common.critic.ViTCritic
spatial_emb: 128
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 59
action_dim: 14
transition_dim: ${action_dim}
denoising_steps: 20
ft_denoising_steps: 10
cond_steps: 1
@@ -103,7 +102,7 @@ model:
smaller_encoder: False
cond_predict_scale: True
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
critic:
_target_: model.common.critic.CriticObs
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 59
action_dim: 14
transition_dim: ${action_dim}
cond_steps: 1
horizon_steps: 8
act_steps: 8
@@ -94,7 +93,7 @@ model:
std_max: 0.2
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
critic:
_target_: model.common.critic.CriticObs
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 18
action_dim: 14
transition_dim: ${action_dim}
cond_steps: 1
img_cond_steps: 1
horizon_steps: 8
@@ -127,7 +126,7 @@ model:
img_cond_steps: ${img_cond_steps}
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
critic:
_target_: model.common.critic.ViTCritic
spatial_emb: 128
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 59
action_dim: 14
transition_dim: ${action_dim}
cond_steps: 1
horizon_steps: 8
act_steps: 8
@@ -95,7 +94,7 @@ model:
std_max: 0.2
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
critic:
_target_: model.common.critic.CriticObs
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 59
action_dim: 14
transition_dim: ${action_dim}
cond_steps: 1
horizon_steps: 8
act_steps: 8
@@ -95,7 +94,7 @@ model:
num_modes: ${num_modes}
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
critic:
_target_: model.common.critic.CriticObs
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 59
action_dim: 14
transition_dim: ${action_dim}
cond_steps: 1
horizon_steps: 8
act_steps: 8
@@ -96,7 +95,7 @@ model:
num_modes: ${num_modes}
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
critic:
_target_: model.common.critic.CriticObs
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 59
action_dim: 14
transition_dim: ${action_dim}
denoising_steps: 20
cond_steps: 1
horizon_steps: 8
@@ -73,11 +72,11 @@ train:
num: 0
# QSM specific
scale_reward_factor: 1
q_grad_coeff: 50
q_grad_coeff: 10
critic_tau: 0.005 # rate of target q network update
buffer_size: 3000
batch_size: 256
replay_ratio: 32
buffer_size: 5000 # * n_envs
replay_ratio: 16
batch_size: 1000
model:
_target_: model.diffusion.diffusion_qsm.QSMDiffusion
@@ -93,7 +92,7 @@ model:
residual_style: True
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
critic:
_target_: model.common.critic.CriticObsAct
action_dim: ${action_dim}
@@ -16,7 +16,6 @@ device: cuda:0
env_name: transport
obs_dim: 59
action_dim: 14
transition_dim: ${action_dim}
denoising_steps: 20
cond_steps: 1
horizon_steps: 8
@@ -85,7 +84,7 @@ model:
residual_style: True
cond_dim: ${eval:'${obs_dim} * ${cond_steps}'}
horizon_steps: ${horizon_steps}
transition_dim: ${transition_dim}
action_dim: ${action_dim}
horizon_steps: ${horizon_steps}
obs_dim: ${obs_dim}
action_dim: ${action_dim}