An elegant PyTorch deep reinforcement learning library.
#计算机科学#Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
#计算机科学#PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
#计算机科学#Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
Real-time behaviour synthesis with MuJoCo, using Predictive Control
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
#计算机科学#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.
#计算机科学#Python library for Reinforcement Learning.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
#计算机科学#The Fastest Deep Reinforcement Learning Library
#大语言模型#Unified Reinforcement Learning Framework
A collection of robotics simulation environments for reinforcement learning
Training a humanoid robot for locomotion using Reinforcement Learning
[CoRL '23] Dexterous piano playing with deep reinforcement learning.
A unified framework for robot learning