Shimmy
meltingpot
| Shimmy | meltingpot | |
|---|---|---|
| 1 | 4 | |
| 118 | 538 | |
| 3.4% | 4.3% | |
| 6.2 | 8.7 | |
| about 2 months ago | 9 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
-
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.
meltingpot
-
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:
- Melting Pot – A suite of test scenarios for multi-agent reinforcement learning
-
Unreal Engine Deep Learning Project Suggestion
https://github.com/deepmind/meltingpot check this out too. You're welcome.
- Melting Pot: A suite of test scenarios for multi-agent reinforcement learning
What are some alternatives?
lab - A customisable 3D platform for agent-based AI research
PettingZoo - An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
bsuite - bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
gym - A toolkit for developing and comparing reinforcement learning algorithms.
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Arcade-Learning-Environment - The Arcade Learning Environment (ALE) -- a platform for AI research.