强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
#计算机科学#Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
翻译 - 简单钢筋学习教程
An elegant PyTorch deep reinforcement learning library.
翻译 - 优雅,灵活和超快的PyTorch深度强化学习平台。
Modularized Implementation of Deep RL Algorithms in PyTorch
#计算机科学#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
#计算机科学#🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
#计算机科学#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 tha...
Repository for codes of 'Deep Reinforcement Learning'
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
#算法刷题#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.
#计算机科学#Solving board games like Connect4 using Deep Reinforcement Learning
This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.
#时序数据库#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.