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Top 14 Python mujoco Projects
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dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
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Metaworld
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
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myosuite
MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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MuJoCo_RL_UR5
A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
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policy-adaptation-during-deployment
Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
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Meta-SAC
Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
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fetch-and-slide-HRE-PRE
In this project, I attempt to solve fetch and slide open gym environment with Hindsight Experience Replay and the I experiment with Prioritised experience replay to see if there are any performance improvements
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: Is it better to not use the Target Update Frequency in Double DQN or depends on the application? | /r/reinforcementlearning | 2023-07-05The tianshou implementation I found at https://github.com/thu-ml/tianshou/blob/master/tianshou/policy/modelfree/dqn.py is DQN by default.
Project mention: Shimmy 1.0: Gymnasium & PettingZoo bindings for popular external RL environments | /r/farama | 2023-04-25This 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:
I posted a while back asking people what frameworks they were using for RL research. Recently i stumbled upon DI-Engine which looks promising! Actively maintained, with a diverse set of algorithms already implemented.
Python mujoco related posts
- Looking for Maintainers/Contributors for Metaworld
- MyoSuite: An embodied AI platform that unifies neural and motor intelligence
- Meta Researchers Introduce a New Embodied AI Platform, Called MyoSuite, That Applies Machine Learning (ML) to Biomechanical Control Problems by Unifying Motor and Neural Intelligence
- Installing & Using MuJoCo 2.1.5 with OpenAi Gym
- How to pretrain a model on expert data?
- [D] Creating benchmarks for reinforcement learning
- Exploring Self-Supervised Policy Adaptation To Continue Training After Deployment Without Using Any Rewards
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A note from our sponsor - WorkOS
workos.com | 25 Apr 2024
Index
What are some of the best open-source mujoco projects in Python? This list will help you:
Project | Stars | |
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1 | tianshou | 7,378 |
2 | dm_control | 3,540 |
3 | pytorch-a2c-ppo-acktr-gail | 3,423 |
4 | DI-engine | 2,517 |
5 | Metaworld | 1,103 |
6 | myosuite | 762 |
7 | Gymnasium-Robotics | 425 |
8 | MuJoCo_RL_UR5 | 303 |
9 | MoCapAct | 131 |
10 | policy-adaptation-during-deployment | 109 |
11 | exorl | 83 |
12 | f-IRL | 35 |
13 | Meta-SAC | 28 |
14 | fetch-and-slide-HRE-PRE | 3 |
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