Comments (2)
MischaPanch
commented on August 17, 2024
1
Hi. I can't look into it in detail now, but I generally don't think this should happen in tianshou but rather on the env level. You could just merge the action spaces into a single discrete action space, so there is no urgent need to support multi-discrete environments, I believe
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LmMax0
commented on August 17, 2024
If possible, I would like to know if there is any relevant documentation for the specific information of env for discrete DQN or PPO in Tianshou's example, so that I can start to read the code and make certain modifications to implement my own project
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Related Issues (20)
- Clean up handling of output_dim
- How to randomly collect actions from the environment in train_step HOT 6
- Wrong output of forward for custom policy HOT 1
- Support MultiBinary action space for SAC or A2C HOT 2
- Clearer separation between the trainer and the algorithm and refactoring of policy classes HOT 1
- When is the reset() function being called in tictactoe? HOT 2
- Rename state_shape to obs_shape HOT 1
- logger and save_best_fn do not work for Custom Environment HOT 1
- Regarding the error related to SEED when I train in a homebrew environment HOT 6
- How to train a offline BCQ model with a custom logged data? HOT 1
- Collector sampling with multiple environment does not seem to be unbiased with n_episodes HOT 10
- Colab button not working in docs tutorials HOT 2
- My custom PettingZoo env is working with DQNPolicy but not with PPOPolicy : AttributeError: 'str' object has no attribute 'ndim' HOT 2
- Update Gymnasium to v1.0.0a1 HOT 3
- Allow number of episodes per test step to be configured in high-level API
- Improve and extend Documentation Content
- Code duplication between ReplayBuffer and ReplayBufferManager
- Remove data from state in Collector, and remove preprocess_fn there HOT 7
- how to convert Batch into ndarray/tensor HOT 5
- Support Dict observation spaces HOT 7
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