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Top 18 mujoco Open-Source Projects
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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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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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envpool
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
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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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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.
Project mention: How do I improve my SB3 PPO on an EnvPool environment | /r/reinforcementlearning | 2023-09-21I am looking to improve the overall performance as well as optimize the wall clock time. I slightly modified the code to develop a SB3 wrapper for envpool from here.
Congratulations on shipping!
You might find this interesting, a comment on https://news.ycombinator.com/item?id=35376138 (https://news.ycombinator.com/item?id=35379983):
> I had been playing with the idea of creating a browser-based virtual piano for when I'm travelling and don't have access to a real piano but have my laptop with me. The idea would be to point the webcam down at the table between me and the laptop, and play on the table as if a piano were there. Then use the mediapipe framework [1] to capture finger positions, and use those to update a virtual environment like the one you have here.
> I put it on hold due to the significant engineering required, but it seems you have already implemented (and open sourced!) the browser-based piano simulation component.
> A quick scan through your repo indicates that this is all implemented in Python. I see that you are using mujoco_wasm [2].
[1] https://google.github.io/mediapipe/
[2] https://github.com/zalo/mujoco_wasm
mujoco related posts
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MuJoCo 3
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Mujoco Question
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Python Tutorials
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Mujoco + Unity => setting transform
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Hi, i guys i have been working on bouncing ball experiment in Mujoco and i have had a fairly realistic effect of a ball bouncing, however i want it to be bouncing forward like tossing ball and it bounces forward? how can i achieve this? my XML is below
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Looking for Maintainers/Contributors for Metaworld
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MuJoCo Soft Surface Problem
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A note from our sponsor - SaaSHub
www.saashub.com | 16 May 2024
Index
What are some of the best open-source mujoco projects? This list will help you:
Project | Stars | |
---|---|---|
1 | tianshou | 7,459 |
2 | mujoco | 7,267 |
3 | dm_control | 3,569 |
4 | pytorch-a2c-ppo-acktr-gail | 3,423 |
5 | DI-engine | 2,603 |
6 | Metaworld | 1,116 |
7 | envpool | 1,022 |
8 | myosuite | 772 |
9 | Gymnasium-Robotics | 437 |
10 | drq | 398 |
11 | MuJoCo_RL_UR5 | 303 |
12 | mujoco_wasm | 169 |
13 | MoCapAct | 132 |
14 | policy-adaptation-during-deployment | 109 |
15 | exorl | 94 |
16 | f-IRL | 35 |
17 | Meta-SAC | 28 |
18 | fetch-and-slide-HRE-PRE | 3 |
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