#计算机科学#A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control.
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Reinforcement learning resources curated
#计算机科学#A course in reinforcement learning in the wild
#计算机科学#Deep Reinforcement Learning for Keras.
翻译 - Keras的深度强化学习。
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
翻译 - rllab是用于开发和评估强化学习算法的框架,与OpenAI Gym完全兼容。
#计算机科学#Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
Tonic RL library
翻译 - 补品RL库
Library for Model Based RL
RL research on Android devices.
Multitask Environments for RL
Multi Task RL Baselines
RL Environments in JAX 🌍
A PyTorch Platform for Distributed RL
翻译 - 分布式RL的PyTorch平台
Modularized Implementation of Deep RL Algorithms in PyTorch
Augmented environments with RL
#计算机科学#Structural implementation of RL key algorithms
翻译 - RL密钥算法的结构化实现
Deep RL algorithm in pytorch
Some basic examples of playing with RL