140 Open source projects that are alternatives of or similar to DQN-Atari

An elegant PyTorch deep reinforcement learning library.

DQN to play Atari Pong

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playing idealized trading games with deep reinforcement learning

大数据+人工智能+数据结构相关案例项目

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

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Minimal implementations of reinforcement learning algorithms by Tensorflow

Implementations of deep RL papers and random experimentation

🔥🌟《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!

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.

Using reinforcement learning to train FlappyBird.

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

AI斗地主

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

🏓 Pong in 512 bytes. (boot sector)

Built for EnTT, at the request of the developer as a demo.

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Let's play a classic game of Node Pong in Blender 3D

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning

Classic game of Pong in the terminal made in C.

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

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

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

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Modularized Implementation of Deep RL Algorithms in PyTorch

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

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

A framework for easy prototyping of distributed reinforcement learning algorithms

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Ape-X DQN & DDPG with pytorch & tensorboard

AI research environment for the Atari 2600 games 🤖.

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

Repository for codes of 'Deep Reinforcement Learning'

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

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

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Prioritized Experience Replay (PER) implementation in PyTorch

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A PyTorch implementation of Rainbow DQN agent

Virtual Jaguar, an Atari Jaguar emulator, with integrated debugger

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

Reinforcement learning with tensorflow 2 keras

A Universal Deep Reinforcement Learning Framework