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from easydict import EasyDict
from copy import deepcopy
Pong_dt_config = dict(
exp_name='dt_log/atari/Pong/Pong_dt_seed0',
env=dict(
env_id='PongNoFrameskip-v4',
collector_env_num=1,
evaluator_env_num=8,
n_evaluator_episode=8,
stop_value=20,
frame_stack=4,
is_train=False,
episode_num=10000, # stop in breakout
),
dataset=dict(
env_type='atari',
num_steps=500000,
# num_steps=50,
num_buffers=50,
rtg_scale=None,
context_len=30,
data_dir_prefix='/mnt/nfs/luyd/d4rl_atari/Pong',
trajectories_per_buffer=10,
),
policy=dict(
cuda=True,
multi_gpu=True,
stop_value=20,
evaluator_env_num=8,
rtg_target=20, # max target return to go
max_eval_ep_len=10000, # max lenght of one episode
wt_decay=1e-4,
clip_grad_norm_p=1.0,
weight_decay=0.1,
warmup_steps=10000,
model=dict(
state_dim=(4, 84, 84),
act_dim=6,
n_blocks=6,
h_dim=128,
context_len=30,
n_heads=8,
drop_p=0.1,
continuous=False,
),
batch_size=128,
learning_rate=6e-4,
eval=dict(evaluator=dict(eval_freq=100, ), ),
collect=dict(
data_type='d4rl_trajectory',
unroll_len=1,
),
),
)
Pong_dt_config = EasyDict(Pong_dt_config)
main_config = Pong_dt_config
Pong_dt_create_config = dict(
env=dict(
type='atari',
import_names=['dizoo.atari.envs.atari_env'],
),
env_manager=dict(type='subprocess'),
policy=dict(type='dt'),
)
Pong_dt_create_config = EasyDict(Pong_dt_create_config)
create_config = Pong_dt_create_config
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