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Add TorchRL to the Notable Related Libraries in README.md (#60)

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Co-authored-by: Mark Towers <mark.m.towers@gmail.com>
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Vincent Moens
2022-10-18 10:08:18 +01:00
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@@ -53,6 +53,7 @@ Please note that this is an incomplete list, and just includes libraries that th
* [CleanRL](https://github.com/vwxyzjn/cleanrl) is a learning library based on the Gym API. It is designed to cater to newer people in the field and provides very good reference implementations. * [CleanRL](https://github.com/vwxyzjn/cleanrl) is a learning library based on the Gym API. It is designed to cater to newer people in the field and provides very good reference implementations.
* [Tianshou](https://github.com/thu-ml/tianshou) is a learning library that's geared towards very experienced users and is design to allow for ease in complex algorithm modifications. * [Tianshou](https://github.com/thu-ml/tianshou) is a learning library that's geared towards very experienced users and is design to allow for ease in complex algorithm modifications.
* [TorchRL](https://github.com/pytorch/rl) is the pytorch domain library for RL. It is fully compatible with the Gym API. It provides reusable building blocks for RL algorithms. It supports single and multi-agent, single and multi-tasks, distributed learning and many more features.
* [RLlib](https://docs.ray.io/en/latest/rllib/index.html) is a learning library that allows for distributed training and inferencing and supports an extraordinarily large number of features throughout the reinforcement learning space. * [RLlib](https://docs.ray.io/en/latest/rllib/index.html) is a learning library that allows for distributed training and inferencing and supports an extraordinarily large number of features throughout the reinforcement learning space.
* [PettingZoo](https://github.com/Farama-Foundation/PettingZoo) is like Gym, but for environments with multiple agents. * [PettingZoo](https://github.com/Farama-Foundation/PettingZoo) is like Gym, but for environments with multiple agents.