openai / mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
☆2,920Updated 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.☆3,919Updated this week
- A toolkit for reproducible reinforcement learning research.☆1,920Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,935Updated last year
- Collection of reinforcement learning algorithms☆2,586Updated 8 months ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,216Updated 2 years ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,243Updated this week
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,138Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,174Updated last week
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,680Updated 2 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,336Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,153Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,239Updated 4 years ago
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆841Updated 3 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,299Updated 6 months ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,335Updated 3 months ago
- A collection of reference environments for offline reinforcement learning☆1,411Updated 3 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,263Updated last year
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,423Updated 2 years ago
- Assignments for CS294-112.☆1,580Updated last year
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,024Updated 6 months ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,399Updated last month
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,602Updated 3 years ago
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,856Updated last week
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,228Updated this week
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,173Updated last year
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆9,786Updated this week
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,259Updated 10 months ago
- A Platform for Many-Agent Reinforcement Learning☆1,711Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,242Updated 5 years ago
- ☆1,121Updated 8 months ago