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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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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
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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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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.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python mujoco related posts
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Looking for Maintainers/Contributors for Metaworld
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MyoSuite: An embodied AI platform that unifies neural and motor intelligence
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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
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Installing & Using MuJoCo 2.1.5 with OpenAi Gym
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How to pretrain a model on expert data?
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[D] Creating benchmarks for reinforcement learning
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Exploring Self-Supervised Policy Adaptation To Continue Training After Deployment Without Using Any Rewards
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A note from our sponsor - Scout Monitoring
www.scoutapm.com | 1 Jun 2024
Index
What are some of the best open-source mujoco projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | tianshou | 7,516 |
| 2 | dm_control | 3,585 |
| 3 | pytorch-a2c-ppo-acktr-gail | 3,491 |
| 4 | DI-engine | 2,653 |
| 5 | Metaworld | 1,132 |
| 6 | myosuite | 782 |
| 7 | Gymnasium-Robotics | 451 |
| 8 | MuJoCo_RL_UR5 | 347 |
| 9 | MoCapAct | 132 |
| 10 | policy-adaptation-during-deployment | 109 |
| 11 | exorl | 94 |
| 12 | f-IRL | 35 |
| 13 | Meta-SAC | 28 |
| 14 | fetch-and-slide-HRE-PRE | 3 |
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