ddqn

germain-hug/Deep-RL-Keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

dongminlee94/deep_rl

PyTorch implementation of deep reinforcement learning algorithms

pythonlessons/Reinforcement_Learning

Reinforcement learning tutorials

gsurma/atari

AI research environment for the Atari 2600 games 🤖.

idreesshaikh/Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

Kyushik/DRL

Repository for codes of 'Deep Reinforcement Learning'

deepanshut041/Reinforcement-Learning

Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch

deligentfool/dqn_zoo

The implement of all kinds of dqn reinforcement learning with Pytorch

FelipeMarcelino/2048-Gym

This projects aims to use reinforcement learning algorithms to play the game 2048.

fschur/DDQN-with-PyTorch-for-OpenAI-Gym

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

itaicaspi/keras-dqn-doom

Keras implementation of DQN on ViZDoom environment

jihoonerd/Deep-Reinforcement-Learning-with-Double-Q-learning

📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️

alamminsalo/snakewasm

Snake game with neural network AI model

Rahul-Choudhary-3614/Deep-Reinforcement-Learning-Notebooks

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

blackredscarf/pytorch-DQN

Using pytorch to implement DQN / DDQN / Atari DDQN

ChuaCheowHuan/reinforcement_learning

My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.

kochlisGit/TraderNet-CRv2

TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets

TroddenSpade/Federated-DRL

Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards

batuhan3526/AirSim-PyTorch-Drone-DDQN-Agent

This code is the result of the collaboration of RL Turkey team.

BepfCp/RL-pytorch

A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.

chinancheng/DDQN.pytorch

DDQN inplementation on PLE FlappyBird environment in PyTorch.

cocolico14/N-step-Dueling-DDQN-PER-Pacman

Using N-step dueling DDQN with PER for playing Pacman game

monoelh/deep-reinforcement-learning_DDQN_PPO_HER

MLP-framework (pure numpy) and DDQN-framework for OpenAI's Gym games. +test code for PPO added. +Hindsight Experience Replay(HER) bitflip-DQN example. +prioritized replay.

sourcecode369/deep-reinforcement-learning

Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.

awilliea/Risk-based_RL_for_Optimal_Trading_Execution

yassineboujrada/Self_Driving_Car_By_DDQN_Algorithm

aminkhani/Deep-RL

You can see a reference for Books, Articles, Courses and Educational Materials in this field. Implementation of Reinforcement Learning Algorithms and Environments. Python, OpenAI Gym, Tensorflow.

user432/DeepRL-in-PyTorch

Minimal Implementation of Deep RL Algorithms in PyTorch

abyaadrafid/Deep-Reinforcement-Learning

To keep track and showcase

jianzhnie/RLToolkit

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 ....

PeterJochem/Deep_RL

Implementations of Deep RL Algorithms in OpenAI Gym Environments

deepanshut041/MlAgents

This repository contains the implementation of deep reinforcement learning algorithms to solve various unity The Environments.

victor369basu/MyosuiteDDQN

In this repository, we try to solve musculoskeletal tasks with `Double DQN reinforcement learning` by using a `transformer` model has been used as the base model architecture.

ZLkanyo009/flappy-bird-tensorflow2-DQN

DQN flappy bird with tensorflow2

rram12/Lane-Change-Assistance-System

A Reinforcement Learning based approach for Lane change assistance system