bsuite
meltingpot
bsuite | meltingpot | |
---|---|---|
2 | 4 | |
1,470 | 541 | |
0.5% | 4.3% | |
0.0 | 8.7 | |
about 1 month ago | 13 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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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.
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.
meltingpot
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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:
- Melting Pot – A suite of test scenarios for multi-agent reinforcement learning
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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
Shimmy - An API conversion tool for popular external reinforcement learning environments
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
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.
Arcade-Learning-Environment - The Arcade Learning Environment (ALE) -- a platform for AI research.
gym - A toolkit for developing and comparing reinforcement learning algorithms.