Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

Repository for codes of 'Deep Reinforcement Learning'

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

DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

This is the code implementation of the paper "Financial Trading as a Game: A Deep Reinforcement Learning Approach".

using recurrent networks(LSTM) to solve POMDPs

Atari-DRQN (keras ver.)

Collision Avoidance with Reinforcement Learning

To keep track and showcase

Pathfinding Using Reinforcement Learning

Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator

This is a reconstruction of previous repository(rl-algorithms).

Implementation of the DQN and DRQN algorithms in Keras and tensorflow

A multi agent reinforcement learning environment where two agents controlled by DRQNs play a custom version of the pursuit-evasion game.

Deep Recurrent Q-Network with different exploration strategies for self-driving cars (using AirSim)

Alogtrader bot using RL

My DRL(Deep Reinforcement Learning ) algorithm demo, base on pytorch and gym environment.

hdrqn

Tensorflow implementation of Reinforcement Learning methods for Atari 2600.