Popular GitHub Repositories for Ddqn

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

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.

Keras implementation of DQN on ViZDoom environment

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.

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.

Minimal Implementation of Deep RL Algorithms in PyTorch

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 ....

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

Jaxplorer is a Jax reinforcement learning (RL) framework for exploring new ideas.

Version 3.0.0 Pytorch implementations of DQN, DDQN, DDPG, SAC, Discrete SAC. With more features :)

Exhaustive Implementation of Algorithms, Key Papers, and Well-Known Problems of Reinforcement Leaning

Autonomous Driving W/ Deep Reinforcement Learning in Lane Keeping - DDQN and SAC with kinematics/birdview-images

An open-source hardware racing drone design and demonstration RL software for the artificial intelligence robotic drone race competitions

Chapter 13: Deep Reinforcement Learning for Text and Speech