XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
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Updated
Jun 2, 2024 - Python
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
A collection of robotics simulation environments for reinforcement learning
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Gym environments for NeuroMechFly in various physics simulators
A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax).
OpenDILab Decision AI Engine
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
MuJoCo fruit fly body model and reinforcement learning tasks
Reinforcement learning environments for planar robotics based on MuJoCo
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
The Simple Simulator: Simulation Made Simple
Python library for Reinforcement Learning.
Unified Reinforcement Learning Framework
An elegant PyTorch deep reinforcement learning library.
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