131 Open source projects that are alternatives of or similar to DQN-pytorch

Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout

Deep Q-Learning (DQN) implementation for Atari pong.

An elegant PyTorch deep reinforcement learning library.

DQN to play Atari Pong

Awesome Lists of retrocomputing resources (6502, Apple 2, Atari, ...)

AI research environment for the Atari 2600 games 🤖.

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

A PyTorch implementation of Rainbow DQN agent

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

Minimal and Clean Reinforcement Learning Examples

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Repository for codes of 'Deep Reinforcement Learning'

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Prioritized Experience Replay (PER) implementation in PyTorch

A leaderboard of human and machine performance on the Arcade Learning Environment (ALE).

Reinforcement learning with tensorflow 2 keras

FastBasic - Fast BASIC interpreter for the Atari 8-bit computers

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

ROS 2 enabled Machine Learning algorithms

OpenAI's cartpole env solver.

🤖 Implements of Reinforcement Learning algorithms.

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

강화학습에 대한 기본적인 알고리즘 구현

The Retro Learning Environment (RLE) -- a learning framework for AI

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

Implementations of deep RL papers and random experimentation

A Universal Deep Reinforcement Learning Framework

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

31 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.

大数据+人工智能+数据结构相关案例项目

AI斗地主

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

☔ Deep RL agents with PyTorch☔

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

A curated list of original and reverse-engineered vintage 6502 game sourcecode.

TensorFlow implementation of Deep Reinforcement Learning papers

Modularized Implementation of Deep RL Algorithms in PyTorch

A working implementation of the Categorical DQN (Distributional RL).

Master Thesis: Limit order placement with Reinforcement Learning

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Reinforcement learning with A* and a deep heuristic

Highly Modular and Scalable Reinforcement Learning

Using reinforcement learning to train FlappyBird.

Solving OpenAI Gym problems.

playing idealized trading games with deep reinforcement learning

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Ape-X DQN & DDPG with pytorch & tensorboard

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

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

A .Net-based Cross-Assembler for Several 8-Bit Microprocessors

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Virtual Jaguar, an Atari Jaguar emulator, with integrated debugger