yuanmingqi
commented
4 months ago Sorry for the very late reply. We've experienced a big update recently, I think now you can successfully run the example.
If you have any other questions, please don't hesitate to ask here.
❓ Question
When I try the code in intrinsic_reward_shaping.ipynb, I get an error.
The detailed error are as the following:
Traceback (most recent call last): File "/home/x1/anaconda3/envs/x2/lib/python3.8/code.py", line 90, in runcode exec(code, self.locals) File "", line 1, in
File "/opt/PyCharm/pycharm-professional-2022.2.4/pycharm-2022.2.4/plugins/python/helpers/pydev/_pydev_bundle/pydev_umd.py", line 198, in runfile
pydev_imports.execfile(filename, global_vars, local_vars) # execute the script
File "/opt/PyCharm/pycharm-professional-2022.2.4/pycharm-2022.2.4/plugins/python/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "/home/x1/PycharmProjects/ddpg-pytorch/test_rllte/test1.py", line 24, in
agent.train(num_train_steps=5000)
File "/home/x1/PycharmProjects/ddpg-pytorch/rllte/rllte/common/prototype/on_policy_agent.py", line 112, in train
eval_metrics = self.eval(num_eval_episodes)
File "/home/x1/PycharmProjects/ddpg-pytorch/rllte/rllte/common/prototype/on_policyagent.py", line 231, in eval
actions, = self.policy(obs, training=False)
File "/home/x1/anaconda3/envs/x2/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, kwargs)
File "/home/x1/anaconda3/envs/x2/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, *kwargs)
File "/home/x1/anaconda3/envs/x2/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 328, in _fn
return fn(args, kwargs)
File "/home/x1/anaconda3/envs/x2/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, *kwargs)
File "/home/x1/anaconda3/envs/x2/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(args, **kwargs)
File "/home/x1/PycharmProjects/ddpg-pytorch/rllte/rllte/xploit/policy/on_policy_shared_actor_critic.py", line 147, in forward
def forward(self, obs: th.Tensor, training: bool = True) -> Tuple[th.Tensor, Dict[str, th.Tensor]]:
File "/home/x1/PycharmProjects/ddpg-pytorch/rllte/rllte/xplore/distribution/categorical.py", line 99, in mean
return self.dist.probs.argmax(axis=-1)
AttributeError: 'Categorical' object has no attribute 'dist'
Can you help me to solve this problem?
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