Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing

A Torch Based RL Framework for Rapid Prototyping of Research Papers

强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行

The simulation of paper: Joint Cooperation Clustering and Content Caching in Cell-Free Massive MIMO Networks

Simulation based Soft Continuum Robot Control via Reinforcement Learning

Implement reinforcement learning algorithms in Pytorch

Multi-agent reinforcement learning framework

An implementation of DDPG using PyTorch for algorithmic trading on Chinese SH50 stock market.

Reinforcement Learning Tutorials & other bedtime stories in PyTorch

La combinación más inteligente de Deep Q-Learning, Políticas de Gradiente, Actor-Crítico y DDPG utilizando PyTorch

A simple baseline for mountain-car @ gym

PyTorch implementation of the paper Overcoming Exploration in Reinforcement Learning with Demonstrations in surgical robot manipulation tasks.

PyTorch application of reinforcement learning algorithm in OpenAI LunarLander - DDPG

Code implementation and note of deep reinforcement learning. DQN、DDPG、D3QN、MADDPG、PPO

Twin Delayed Deep Deterministic Policy Gradient Algorithm On PybulletAnt agent.

Deep Deterministic Policy Gradients in Pytorch with Simulation in PyBullet

This repository contains an implementation of Deep Deterministic Policy Gradient (DDPG), a reinforcement learning algorithm designed for environments with continuous action spaces. It features actor-critic architecture, experience replay, and exploration strategies, and is tested on environments like MountainCarContinuous. More info on Medium blog!

PyTorch application of reinforcement learning DDPG and PPO algorithms in Unity 3D-Ball

Deep Learning & Labs Course, NYCU, 2023