Fix error in custom Gym environment för reinforced learning with Python

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I have a Python program with a custom Open AI Gym environment. After maybe 50 000 – 200 000 time steps I get an error. I have tried on different computers and I tried to reinstall Anaconda environment but the problem is still there. (So I can make the error happen on multiple computers) I want help finding and fixing that problem so the program can run for millions of time steps. Error: ------------------------------------ | time/ | | | fps | 258 | | iterations | 25300 | | time_elapsed | 489 | | total_timesteps | 126500 | | train/ | | | entropy_loss | -0.054 | | explained_variance | 0.0318 | | learning_rate | 0.0007 | | n_updates | 25299 | | policy_loss | 29.4 | | value_loss | 2.14e+07 | ------------------------------------ Traceback (most recent call last): File "C:\anaconda3\envs\GymSB3Oanda\lib\site-packages\spyder_kernels\[login to view URL]", line 356, in compat_exec exec(code, globals, locals) File "c:\_sb3withoanda\[login to view URL]", line 717, in <module> [login to view URL](total_timesteps=nSteps) File "C:\anaconda3\envs\GymSB3Oanda\lib\site-packages\stable_baselines3\a2c\[login to view URL]", line 191, in learn return super(A2C, self).learn( File "C:\anaconda3\envs\GymSB3Oanda\lib\site-packages\stable_baselines3\common\[login to view URL]", line 250, in learn continue_training = self.collect_rollouts([login to view URL], callback, self.rollout_buffer, n_rollout_steps=self.n_steps) File "C:\anaconda3\envs\GymSB3Oanda\lib\site-packages\stable_baselines3\common\[login to view URL]", line 169, in collect_rollouts actions, values, log_probs = [login to view URL](obs_tensor) File "C:\anaconda3\envs\GymSB3Oanda\lib\site-packages\stable_baselines3\common\[login to view URL]", line 592, in forward distribution = self._get_action_dist_from_latent(latent_pi) File "C:\anaconda3\envs\GymSB3Oanda\lib\site-packages\stable_baselines3\common\[login to view URL]", line 610, in _get_action_dist_from_latent return self.action_dist.proba_distribution(action_logits=mean_actions) File "C:\anaconda3\envs\GymSB3Oanda\lib\site-packages\stable_baselines3\common\[login to view URL]", line 274, in proba_distribution [login to view URL] = Categorical(logits=action_logits) File "C:\anaconda3\envs\GymSB3Oanda\lib\site-packages\torch\distributions\[login to view URL]", line 66, in __init__ super(Categorical, self).__init__(batch_shape, validate_args=validate_args) File "C:\anaconda3\envs\GymSB3Oanda\lib\site-packages\torch\distributions\[login to view URL]", line 56, in __init__ raise ValueError( ValueError: Expected parameter logits (Tensor of shape (1, 3)) of distribution Categorical(logits: [login to view URL]([1, 3])) to satisfy the constraint IndependentConstraint(Real(), 1), but found invalid values: tensor([[nan, nan, nan]], device='cuda:0')

Python

Troubleshooting

ID projekta: 35400366

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