There are 2 repositories under ddqn topic.
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
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
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.
Using pytorch to implement DQN / DDQN / Atari DDQN
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards
This code is the result of the collaboration of RL Turkey team.
A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
DDQN inplementation on PLE FlappyBird environment in PyTorch.
Using N-step dueling DDQN with PER for playing Pacman game
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.
Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.
To keep track and showcase
Minimal Implementation of Deep RL Algorithms in PyTorch
This repository contains the implementation of deep reinforcement learning algorithms to solve various unity The Environments.
Implementations of Deep RL Algorithms in OpenAI Gym Environments
Exhaustive Implementation of Algorithms, Key Papers, and Well-Known Problems of Reinforcement Leaning
Collection of reinforcement learning algorithms implementations with TensorFlow2
DQN flappy bird with tensorflow2