Implementation of reinforcement learning algorithms with descriptions for beginners.
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Updated
May 14, 2017 - Jupyter Notebook
Implementation of reinforcement learning algorithms with descriptions for beginners.
DQN, Double DQN, Dueling Network
TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)
Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym
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.
reinforce learing
小时候练手的rl项目
Deep Reinforcement Learning Nanodegree Project 1
Deep reinforcement learning implementations
Repository for codes of 'Deep Reinforcement Learning'
A merge between OpenAI Baselines and Stable Baselines with increased focus on HER+DDPG and ease of use. Simply run the bash script to get started!
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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