# Deep Reinforcement Learning for Keras [](https://travis-ci.org/matthiasplappert/keras-rl) [](ht
this file contains:Advanced Deep Learning with Keras_ Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more (2018, Packt Publishing.pdf Deep Reinforcement Learning for W
美国亚马逊评价很好的一本强化学习书,全英文。Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
This repository contains most of classic deep reinforcement learning algorithms, including - DQN, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)
HIGH-DIMENSIONAL CONTINUOUS CONTROL USING GENERALIZED ADVANTAGE ESTIMATIONPublished as a conference paper at ICLR 2016
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关于Noisy Networks for Exploration dqn的原始论文,适合初学者对深度强化学习Noisy Networks for Exploration dqn的认识和了解Published as a conference paper at ICLR 2018
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Deep Reinforcement Learning Hands-On
by Maxim LapanTable of contents
Deep reinforcement Learning Hands-On
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