PyTorch implementations of deep reinforcement learning algorithms and environments

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch

Simple Cartpole example writed with pytorch.

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

PyTorch 1.x Reinforcement Learning Cookbook, published by Packt

Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

This is a repo for deep reinforcement learning in trading. I used value based double DQN variant for single stock trading. The agent learn to make decision between selling, holding and buying stock with fixed amount based on the reward returned from the environment.

Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym

Hands-on Reinforcement Learning with PyTorch, published by [Packt]

Implement some algorithms of RL

Minimal and Clean Reinforcement Learning Examples in PyTorch

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[NeurIPS' 24] The PyTorch implementation of our paper: "Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning".

This repository contains PyTorch implementations of reinforcement learning algorithms. Its purpose is to provide straightforward and easily understandable code for individuals to learn about basic reinforcement learning algorithms.

PyTorch implementation of classical deep reinforcement learning algorithms

Deep-RL algorithm Implementations using Pytorch

This is a project using Pytorch to fulfill reinforcement learning on a simple game - Gridworld

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PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3.

This is a project using neural-network reinforcement learning to solve the 8 puzzle problem (or even N puzzle)

Hands-On Reinforcement Learning with PyTorch 1.0, By Packt

莫烦强化学习教程的PyTorch实现

An AI that learns to play Hearts of Iron IV through computer vision and reinforcement learning. Built from scratch with PyTorch.

This is implementation of deep reinforcement tracker for single target using pytorch

Developed a reinforcement learning pipeline to teach an agent to take turn at highway intersection without colliding with other vehicle using Deep Q-Learning and Epsilon Greedy strategy.

Reinforcement Learning Algorithms with Pytorch and OpenAI's Gym

Pytorch implementation of various distributed reinforcement learning algorithms