Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

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

PyTorch implementation of deep reinforcement learning algorithms

Reinforcement learning tutorials

AI research environment for the Atari 2600 games 🤖.

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

Repository for codes of 'Deep Reinforcement Learning'

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

The implement of all kinds of dqn reinforcement learning with Pytorch

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

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

Keras implementation of DQN on ViZDoom environment

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

Snake game with neural network AI model

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.

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

Using pytorch to implement DQN / DDQN / Atari DDQN

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

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

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