MoCapAct
Shimmy
MoCapAct | Shimmy | |
---|---|---|
1 | 1 | |
132 | 120 | |
5.3% | 5.0% | |
4.7 | 6.2 | |
6 months ago | about 2 months ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
MoCapAct
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To Enable Advanced Research on Artificial Humanoid Control, Microsoft’s Robotics Team is Releasing A Library of Pre-Trained Simulated Humanoid Control Models with Enriched Data for Training New Ones
Continue reading | Check out the paper, github, project page and reference article.
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.
What are some alternatives?
blender-retarget - Applies animation from one armature to another
lab - A customisable 3D platform for agent-based AI research
diffmimic - [ICLR 2023] DiffMimic: Efficient Motion Mimicking with Differentiable Physics https://arxiv.org/abs/2304.03274
bsuite - bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
meltingpot - A suite of test scenarios for multi-agent reinforcement learning.
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
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.
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.