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Search results for rl dqn

122 search results found

Dopamine ⭐ 10,248

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Tianshou ⭐ 7,125

An elegant PyTorch deep reinforcement learning library.

Agents ⭐ 2,658

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

Rl Adventure ⭐ 2,450

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Minimalrl ⭐ 2,417

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

Mushroom Rl ⭐ 765

Python library for Reinforcement Learning.

Rl_games ⭐ 603

RL implementations

Flappybird ⭐ 555

基于Java基础类库编写的Flappy Bird

Batch_rl ⭐ 443

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

TensorFlow2 Reinforcement Learning

Pytorch Drl ⭐ 387

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

Reinforcement Implementation ⭐ 380

Implementation of benchmark RL algorithms

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

Pytorch Rl ⭐ 356

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Machine Learning Is All You Need ⭐ 337

🔥🌟《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!

Openai_lab ⭐ 314

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Reinforcement_learning ⭐ 250

Reinforcement learning tutorials

Rlcycle ⭐ 242

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

Rl Theory Book ⭐ 238

Reinforcement learning theory book about foundations of deep RL algorithms with proofs.

Dqn Chainer ⭐ 198

Learning To Communicate Pytorch ⭐ 187

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

AI research environment for the Atari 2600 games 🤖.

Deep_rl_with_pytorch ⭐ 174

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Tensorflow Rl ⭐ 173

Implementations of deep RL papers and random experimentation

Rl Forex Trader Lstm ⭐ 113

Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader

Awesome Rl ⭐ 110

Awesome RL: Papers, Books, Codes, Benchmarks

Ros2learn ⭐ 98

ROS 2 enabled Machine Learning algorithms

Deep Reinforcement Learning With Python ⭐ 94

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

60_days_rl_challenge ⭐ 92

60_Days_RL_Challenge中文版

My Solution to Assignments of CS234

Categorical Dqn ⭐ 90

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

Rl Flappybird ⭐ 77

Using reinforcement learning to train FlappyBird.

Pytorch Distributed ⭐ 74

Ape-X DQN & DDPG with pytorch & tensorboard

Rl Intro ⭐ 73

Mario Rl Tutorial ⭐ 70

Reinforcement Learning Tutorial on Super Mario

Autonomous Drifting ⭐ 56

Autonomous Drifting using Reinforcement Learning

Saida_rl ⭐ 53

Pensieve Ppo ⭐ 51

The simplest implementation of Pensieve (SIGCOMM' 17) via state-of-the-art RL algorithms, including PPO, DQN, and SAC

Fruit Api ⭐ 50

A Universal Deep Reinforcement Learning Framework

Qiita投稿用に作成したAgent57(強化学習)の実装コードです。

Rl Experiments ⭐ 47

High-quality implementations of deep reinforcement learning algorithms for experiments

Super Mario Rl ⭐ 46

🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄

Pytorch Learn Reinforcement Learning ⭐ 42

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.

Rl_bootcamp ⭐ 41

Repository for slides & codes of RL Korea Bootcamp

Drl Agents ⭐ 41

research and implementations of Deep RL agents and their applications

Backpropthroughthevoidrl ⭐ 38

RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Baseline repo.

QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.

Rl Dialog ⭐ 37

Pongreinforcementlearning ⭐ 35

Deep DQN Based Reinforcement Learning for simple Pong PyGame

Awesome Machine Learning Robotics ⭐ 32

A curated list of resources about Machine Learning for Robotics

Connect4 ⭐ 29

Solving board games like Connect4 using Deep Reinforcement Learning

Rl Deepqlearning Trading ⭐ 29

An RL model that uses double deep Q learning to generate an optimal policy of stock market trades

F1tenth Rl ⭐ 27

Dqn with lidar data on f1tenth real car or f1tenth simulator

Fast Reinforcement Learning ⭐ 26

Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme

Tensorpoker ⭐ 25

Deep RL based poker bot

Rl Intro ⭐ 25

Logarithmic Reinforcement Learning

Hybrid Cp Rl Solver ⭐ 24

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization

Hierarchical Deep RL Network

Distributional_rl ⭐ 23

Repository for studying distributional rl

Dqn Multi Agent Rl ⭐ 21

Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)

Dqn Flappybird ⭐ 20

Play flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorch

Imbalanced Classification with Deep Reinforcement Learning

Shallow_updates_for_deep_rl ⭐ 19

Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"

Reinforcement learning in 3D.

Eagerly Experimentable!!!

Rl Montezuma ⭐ 17

The state-of-art deep rl algorithms for Montezuma's revenge

Yet Another Agents Framework - An RL research-oriented framework for agent prototyping and evaluation

An auto-focus system using RL based on ur3 robotic arm.

Deep Rl Zoo ⭐ 16

Model Zoo for Deep Reinforcement Learning

Deep Rl Toolkit ⭐ 15

RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

fork of rl-baseline-zoo

Cartpole ⭐ 15

Run OpenAI Gym on a Server

Rl_algos ⭐ 14

Reinforcement Learning Algorithms

2048 Rl Drqn ⭐ 14

An attempt at applying Deep RL on the board game 2048

Pytorch Rl ⭐ 14

Pytorch Implementation of RL algorithms

Rl Server ⭐ 12

Reinforcement Learning Server

A clean framework and implementations for reinforcement learning algorithms.

Rl Practice Keras ⭐ 11

Distrl Tensorflow2 ⭐ 11

🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.

Cartpole Solved ⭐ 11

Deep Q-networks made easy

Kuka_robotics_arms ⭐ 10

Application of Deep Reinforcement Learning on Robotics Arm control task

Marl Dpp ⭐ 10

Multi Agent Reinforcement Learning for Dense Path Planning

Deep Rl Dqn Tensorflow ⭐ 10

TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)

Deep Reinforcement Learning Arm Manipulation Project Using Dqn Agent ⭐ 10

Robotics-Deep Reinforcement Learning Project: Deep RL Arm Manipulation by using DQN (Deep Q-Learning Network) agent simulated on ROS-Gazebo with C++ API.

Rl Perturbed Reward ⭐ 10

Reinforcement Learning with Perturbed Reward, AAAI 2020

Hands On Reinforcement Learning With Tensorflow ⭐ 10

Hands-on Reinforcement Learning with TensorFlow by Packt Publishing

Gym Torcs Dqn ⭐ 10

Torcs-DQN implementaion

Deep Rl Mountain Car ⭐ 9

DQN based RL agent for Mountain Car

Deepreinforcementlearningpapers ⭐ 9

Deeprl Robotic ⭐ 9

Deep Reinforcement Learning applied to robotic arm

Munchausen Rl ⭐ 9

PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN

2018 Ai Study Seminar ⭐ 9

Interfacing RL agents with user-definable neural networks and OpenAI-gym environments.

Snake On Pygame ⭐ 9

Snake game implemented in Pygame that can be controlled by human input and AI agents (DQN). Who's best? 🐍 🤖

Deep Reinforcement Learning With Pytorch ⭐ 8

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

Rl Framework ⭐ 8

Framework of Reinforcement Learning algorithms for AILab, Peking University

Pycon2018 Rl_adventure ⭐ 8

Example of an agents for neodroid environments 💡

Applying the DQN-Agent from keras-rl to Starcraft 2 Learning Environment and modding it to to use the Rainbow-DQN algorithms.

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