Shimmy鈥檚 documentation can be found at https://shimmy.farama.org, containing an overview of each environment with screenshots, installation instructions, full usage scripts, and API information.
For more information, see our blog post:
https://farama.org/Announcing-Shimmy
DM Control: DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
https://github.com/deepmind/dm_control
Shimmy documentation: https://shimmy.farama.org/environments/dm_control/
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo. - GitHub - deepmind/dm_control: DeepMind's software stack for physics-based sim...
DM Lab: A customisable 3D platform for agent-based AI research.
https://github.com/deepmind/lab
Shimmy documentation: https://shimmy.farama.org/environments/dm_lab/
Behavior Suite: a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent.
https://github.com/deepmind/bsuite
Shimmy documentation: https://shimmy.farama.org/environments/bsuite/
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent - GitHub - deepmind/bsuite: bsuite is a collection of carefully-de...
OpenAI Gym: A toolkit for developing and comparing reinforcement learning algorithms.
https://github.com/openai/gym
Shimmy documentation: https://shimmy.farama.org/environments/gym/
Arcade Learning Environment (ALE): a simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games.
https://github.com/mgbellemare/Arcade-Learning-Environment
Shimmy documentation: https://shimmy.farama.org/environments/atari/
The Arcade Learning Environment (ALE) -- a platform for AI research. - GitHub - mgbellemare/Arcade-Learning-Environment: The Arcade Learning Environment (ALE) -- a platform for AI research.
DM Control Soccer: DeepMind MuJoCo Multi-Agent Soccer Environment.
https://github.com/deepmind/dm_control/blob/main/dm_control/locomotion/soccer/README.md
Shimmy documentation: https://shimmy.farama.org/environments/dm_multi/
OpenSpiel: a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
https://github.com/deepmind/open_spiel
Shimmy documentation: https://shimmy.farama.org/environments/open_spiel/
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. - GitHub - deepmind/open_spiel: OpenSpiel is a collection of en...
Melting Pot: a suite of test scenarios for multi-agent reinforcement learning, assessing generalization to novel social situations.
https://github.com/deepmind/meltingpot
Shimmy documentation: https://shimmy.farama.org/environments/meltingpot/