PettingZoo 1.24.0 is now live! This release includes Python 3.11 support, updated Chess and Hanabi environment versions, and many bugfixes, documentation updates and testing expansions. We are also very excited to announce 3 tutorials using Stable-Baselines3, and a full training script using CleanRL with TensorBoard and WandB.
https://github.com/Farama-Foundation/PettingZoo/releases/tag/124.0
We are releasing MiniWoB++ v1.0, an RL benchmark with over 100 web interaction environments from button clicks to complex web apps, with multimodal states and diverse actions. RL agents can interact with the browser via Selenium through the Gymnasium API.
https://github.com/Farama-Foundation/miniwob-plusplus/releases/tag/v1.0
v1.0 Release notes In this release, we fully integrated MiniWoB++ with Gymnasium, which provides a standardized API for reinforcement learning. All MiniWoB++ environments can be easily instantiated...
ViZDoom 1.2.0 Release Notes This release adds official Gymnasium support, support for serialization using Pickle, and ARM compatibility. Besides that, it improves and modernizes the codebase to sim...
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/
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...
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/
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.
OpenAI Gym: A toolkit for developing and comparing reinforcement learning algorithms.
https://github.com/openai/gym
Shimmy documentation: https://shimmy.farama.org/environments/gym/
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...
