Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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Updated
Jul 29, 2022 - Python
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Repo for the Deep Reinforcement Learning Nanodegree program
Modularized Implementation of Deep RL Algorithms in PyTorch
Cloud-native Deep Reinforcement Learning.
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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Python library for Reinforcement Learning.
A PyTorch library for building deep reinforcement learning agents.
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
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