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Search results for dqn openai gym

66 search results found

Deep Reinforcement Learning ⭐ 4,635

Repo for the Deep Reinforcement Learning Nanodegree program

Gym Anytrading ⭐ 1,751

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Mushroom Rl ⭐ 765

Python library for Reinforcement Learning.

Simple_dqn ⭐ 656

Simple deep Q-learning agent.

Tensorflow Tutorial Samples ⭐ 356

TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例

Pytorch Rl ⭐ 356

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

Hands On Intelligent Agents With Openai Gym ⭐ 280

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 Kr ⭐ 238

[파이썬과 케라스로 배우는 강화학습] 예제

Dist Dqn ⭐ 181

Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Tensorflow Rl ⭐ 173

Implementations of deep RL papers and random experimentation

DQN implementation in Keras + TensorFlow + OpenAI Gym

Cartpole ⭐ 111

OpenAI's cartpole env solver.

Ctc Executioner ⭐ 97

Master Thesis: Limit order placement with Reinforcement Learning

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

Gym_trading ⭐ 89

Drqn Tensorflow ⭐ 88

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

Openaigym ⭐ 86

Solving OpenAI Gym problems.

Tiny Dqn ⭐ 78

A tiny implementation of Deep Q Learning, using TensorFlow and OpenAI gym

Reinforcement Learning implementations and research prototyping in TensorFlow

Autonomous Drifting ⭐ 56

Autonomous Drifting using Reinforcement Learning

RainBow, Tensorflow

Gym Nes Mario Bros ⭐ 33

🐍 🏋 OpenAI GYM for Nintendo NES emulator FCEUX and 1983 game Mario Bros. + Double Q Learning for mastering the game

Deep Q Networks ⭐ 32

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

Ddqn With Pytorch For Openai Gym ⭐ 32

Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.

Model Free Episodic Control ⭐ 31

This is the implementation of paper Model Free Episodic Control

Pytorch Rl Cpp ⭐ 31

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Rl Deepqlearning Trading ⭐ 29

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

Deep Q Atari ⭐ 29

Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.

Rl_pytorch ⭐ 27

Deep Reinforcement Learning Algorithms Implementation in PyTorch

NES environment for openai gym

Dqn Ddqn On Space Invaders ⭐ 26

Implementation of Double Deep Q Networks and Dueling Q Networks using Keras on Space Invaders using OpenAI Gym. Code can be easily generalized to other Atari games.

Solving several OpenAI Gym and custom gazebo environments using reinforcement learning techniques.

Cartpole ⭐ 15

Run OpenAI Gym on a Server

Dqn Lambda ⭐ 15

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

Deep Q Network Breakout ⭐ 14

This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.

Pytorch Rl ⭐ 14

Pytorch Implementation of RL algorithms

Rl Workshop ⭐ 11

Deep Reinforcement Learning Workshop - Spring 2018

Deep Q-Networks in tensorflow

Space Wrappers ⭐ 11

General purpose environment wrappers for openai gym

Deep Rl Dqn Tensorflow ⭐ 10

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

Modular Multi-Objective Reinforcement Learning with Decision Values

Rl Perturbed Reward ⭐ 10

Reinforcement Learning with Perturbed Reward, AAAI 2020

Reinforcement Learning ⭐ 9

In this all Projects dealing with reinforcement learning wil be uploaded

Reinforceflow ⭐ 9

Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym

Chainer_pong ⭐ 9

learn pong by chainer

Spacefortress ⭐ 9

OpenAI Gym compatible reinforcement learning environment for Space Fortress https://arxiv.org/abs/1809.02206

Implementation of Deep Q-network to play the game 2048 using Keras.

Mountaincar V0_deeprl ⭐ 8

OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)

RLbox: Solving OpenAI Gym with TensorFlow

Tiny Dqn Tensorflow ⭐ 7

Tiny implementation of Deep-Q Network with Tensorflow

Bipedalwalker V2 ⭐ 7

Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning

Vision Cartpole Dqn ⭐ 7

Implementation of the CartPole from OpenAI's Gym using only visual input for Reinforcement Learning control with DQN

Car_racer_gym ⭐ 6

Apply major Reinforcement Learning algorithms (DQN,PPO,A2C) to CarRacing-v0 from GymAI environment.

Lunarlander V2_deeprl ⭐ 6

OpenAI LunarLander-v2 DeepRL-based solutions (DQN, DuelingDQN, D3QN)

Rl_library ⭐ 6

An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.

Cartpole V0_deeprl ⭐ 5

OpenAI CartPole-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)

Reinforcement Learning ⭐ 5

Implementation of the DQN and DRQN algorithms in Keras and tensorflow

This is a repo for Deep Reinforcement Learning with OpenAI GYM

Deep Q Network Using Tensorflow ⭐ 5

This repository contains Deep Q-Networks and Double DQN implementation in tensorflow for Open AI Gym environments.

Deep_reinforcement_learning ⭐ 5

Deep Reinforcement Learning Algorithms in PyTorch

Dqn_openai_keras ⭐ 5

This is the DQN implementation written by myself using OpenAI gym and keras.

Deeprl Ai ⭐ 5

Deep Reinforcement Learning and Artificial Intelligence in Robotics

Wegs Drl Baselines ⭐ 5

Minimum viable reinforcement learning algorithms for your educational convenience.

Openai Gym Carracing Dqn ⭐ 5

Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.

Gym Simplifiedtetris ⭐ 5

🟥 Simplified Tetris environments compliant with OpenAI Gym's API

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