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feature(luyd): fix dt new pipeline of mujoco #754
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context_len=30, | ||
data_dir_prefix='d4rl/walk2d_medium-v2.pkl', | ||
context_len=20, | ||
data_dir_prefix='/mnt/nfs/luyd/d4rl/walker2d_medium.pkl', |
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don't add personal info
@@ -2,9 +2,9 @@ | |||
from copy import deepcopy | |||
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walk2d_dt_config = dict( | |||
exp_name='dt_log/d4rl/walk2d/walk2d_medium_dt_seed0', | |||
exp_name='dt_log/d4rl/walk2d/walk2d_medium_dt_seed0_bs256_random', |
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use the naive exp_name
state_dim=11, | ||
act_dim=3, | ||
state_dim=17, | ||
act_dim=6, | ||
n_blocks=3, |
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simplify hyper-parameters if they are the same as default configs
ding/policy/dt.py
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@@ -231,6 +231,7 @@ def _init_eval(self) -> None: | |||
) | |||
self.state_mean = torch.from_numpy(np.array(self._cfg.state_mean)).to(self._device) | |||
self.state_std = torch.from_numpy(np.array(self._cfg.state_std)).to(self._device) | |||
# print(self.running_rtg, self.state_mean, self.state_std) |
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remove unused print
Find some bugs in new pipeline of dt in training mujoco env, and fix them.