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PyTorch Agent Net: reinforcement learning toolkit for pytorch

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- [ ] update requirements - [ ] migrate tests for pytest - [ ] migrate to gymnasium wrappers

Experience Source asserts when env == gym.Env However, newer gymnasium Env is (same but) diferent from gym.Env. the solution is just to delete this assertion and include gym.Env typing ```...

If you go to the github page of [Atari-py](https://github.com/openai/atari-py) then you will see the following > **Status**: Deprecated (don't expect bug fixes or other updates) > > Notice: atari-py is...

Hi, I like your library. Great job! However, I deep dived your code and it's hard to make adaptions for multi agent scenarios. Did you ever think about it?

I noticed that the requirements in setup.py show that the version of PyTorch must be 1.7.0, I'm wondering whether 1.7.1v will be OK?

Added the option to specify on how many recent rewards the RewardTracker should average on.

In samples/rainbow/05_dqn_prio_replay.py, weights are propagated to batch_weights_v and multiplied by (state_action_values - expected_state_action_values) ** 2 to calculate losses_v. (losses_v + 1e-5) is then used to calculate probabilites. However, according to...

I'm using PyTorch 1.0.1 with Cuda 10.1 and have 8 cores. I have the same 1080 TI as you have. However, I get only half the speed when running your...

I have into Chapter 7 of your book. Its really impressive, however many details are buried within this PTAN package. I believe I have trained a number of nets against...