openai / mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
☆2,972Updated last year
Alternatives and similar repositories for mujoco-py:
Users that are interested in mujoco-py are comparing it to the libraries listed below
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,026Updated this week
- A toolkit for reproducible reinforcement learning research.☆1,960Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,960Updated last year
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,145Updated 2 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,252Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,648Updated 9 months ago
- Reinforcement Learning in PyTorch☆2,250Updated 4 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,217Updated 2 months ago
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆848Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,166Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,287Updated last year
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,428Updated 2 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,344Updated 2 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,310Updated 8 months ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,289Updated last year
- For deep RL and the future of AI.☆1,457Updated last year
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,210Updated 8 months ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,415Updated last week
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,729Updated 2 years ago
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,259Updated 2 months ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,356Updated last week
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,277Updated 2 months ago
- Reinforcement learning environments with musculoskeletal models☆912Updated 3 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,620Updated 3 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,720Updated 2 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,518Updated last year
- A library of reinforcement learning components and agents☆3,640Updated 3 months ago
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,187Updated 3 years ago
- Learning Latent Dynamics for Planning from Pixels☆1,189Updated 2 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,585Updated 5 years ago