Shimmy
bsuite
| Shimmy | bsuite | |
|---|---|---|
| 1 | 2 | |
| 118 | 1,466 | |
| 3.4% | 0.5% | |
| 6.2 | 0.0 | |
| about 2 months ago | 27 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Shimmy
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Shimmy 1.0: Gymnasium & PettingZoo bindings for popular external RL environments
Check out our blog post or release notes for more details. Our documentation website at https://shimmy.farama.org/, containing an overview of each environment with screenshots, installation instructions, full usage scripts, and API information.
bsuite
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Shimmy 1.0: Gymnasium & PettingZoo bindings for popular external RL environments
This includes single-agent Gymnasium wrappers for DM Control, DM Lab, Behavior Suite, Arcade Learning Environment, OpenAI Gym V21 & V26. Multi-agent PettingZoo wrappers support DM Control Soccer, OpenSpiel and Melting Pot. For more information, read the release notes here:
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Towards creating better reward functions in a custom environment| Sensitivity analysis [Question]
Second, if you're interested in evaluating the robustness of the algo implementation, then projects like https://github.com/deepmind/bsuite might help highlight issues, although they may not be relevent to your problem.
What are some alternatives?
lab - A customisable 3D platform for agent-based AI research
meltingpot - A suite of test scenarios for multi-agent reinforcement learning.
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
gym - A toolkit for developing and comparing reinforcement learning algorithms.
PettingZoo - An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Arcade-Learning-Environment - The Arcade Learning Environment (ALE) -- a platform for AI research.
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.