An elegant PyTorch deep reinforcement learning library.
-
Updated
May 11, 2024 - Python
An elegant PyTorch deep reinforcement learning library.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
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).
OpenDILab Decision AI Engine
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Python library for Reinforcement Learning.
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.
Unified Reinforcement Learning Framework
[CoRL '23] Dexterous piano playing with deep reinforcement learning.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
PyTorch implementation of Soft Actor-Critic (SAC)
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
A collection of robotics simulation environments for reinforcement learning
A unified framework for robot learning
PyTorch implementation of Trust Region Policy Optimization
Add a description, image, and links to the mujoco topic page so that developers can more easily learn about it.
To associate your repository with the mujoco topic, visit your repo's landing page and select "manage topics."