There are 2 repositories under double-dqn topic.
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Modularized Implementation of Deep RL Algorithms in PyTorch
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
An RL model that uses double deep Q learning to generate an optimal policy of stock market trades
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
Pytorch implementation of distributed deep reinforcement learning
An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.
Deep Reinforcement Learning for Trading
A Reinforcement Learning agent to perform overtaking action using Double DQN based CNNs which takes images as input built using TensorFlow.
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
A clean framework and implementations for reinforcement learning algorithms.
An AI agent that use Double Deep Q-learning to teach itself to land a Lunar Lander on OpenAI universe
Implementation and Notes of different Reinforcement Learning Algorithms
Deep Reinforcement Learning with Double Q-learning
Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
Recommendation System using Deep Q-Networks and Double Deep Q-Networks
Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym
Version 3.0.0 Pytorch implementations of DQN, DDQN, DDPG, SAC, Discrete SAC. With more features :)
Applying the Trading Deep Q-Network algorithm (TDQN) on shares in the hydrogen sector.
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
A deep q-network AI agent that learns to collect bananas in a Unity environment