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By Ayoosh Kathuria. If you're looking to get started with Reinforcement Learning, the OpenAI gym is undeniably the most popular choice for implementing environments to train your agents. A wide range of environments that are used as benchmarks for proving the efficacy of any new research methodology are implemented in OpenAI Gym, out-of-the-box.
Note: ale-py (atari) has not updated to Gymnasium yet. Therefore pip install gymnasium[atari] will fail, this will be fixed in v0.27. In the meantime, use pip install shimmy[atari] for the fix. Bug Fixes. Added Gym-Gymnasium compatibility converter to allow users to use Gym environments in Gymnasium by @RedTachyon in #61
MO-Gymnasium is an open source Python library for developing and comparing multi-objective reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. Essentially, the environments follow the standard Gymnasium API ...
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Make your own custom environment. #. This documentation overviews creating new environments and relevant useful wrappers, utilities and tests included in Gymnasium designed for the creation of new environments. You can clone gym-examples to play with the code that is presented here. We recommend that you use a virtual environment: git clone ...
24 de nov. de 2023 · Install Gymnasium Install Gymnasium Table of contents Install Gymnasium (via pip) Additional Information Similar and Related Install ...
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