There are 1 repository under dueling-dqn topic.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Reinforcement learning tutorials
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout
The implement of all kinds of dqn reinforcement learning with Pytorch
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄
Pytorch implementation of distributed deep reinforcement learning
An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
OpenAI LunarLander-v2 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.
OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
Deep Reinforcement Learning for Trading
Using N-step dueling DDQN with PER for playing Pacman game
Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.
A clean framework and implementations for reinforcement learning algorithms.
Minimal Implementation of Deep RL Algorithms in PyTorch
Applying the DQN-Agent from keras-rl to Starcraft 2 Learning Environment and modding it to to use the Rainbow-DQN algorithms.
Reinforcement learning modular with pytorch
Flappy Bird Game trained on a Double Dueling Deep Q Network with Prioritized Experience Replay
Implementation and Notes of different Reinforcement Learning Algorithms
Minimum viable reinforcement learning algorithms for your educational convenience.
Apply Double Dueling DQN