Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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Updated
Mar 31, 2024 - Python
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/
An elegant PyTorch deep reinforcement learning library.
Modularized Implementation of Deep RL Algorithms in PyTorch
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
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
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
Repository for codes of 'Deep Reinforcement Learning'
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
This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
PyTorch implementation of various reinforcement learning algorithms
Pytorch implementation of distributed deep reinforcement learning
TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)
An AI agent that use Double Deep Q-learning to teach itself to land a Lunar Lander on OpenAI universe
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