Deep RL Bootcamp TAs Research Overview - 代码天地

Deep RL Bootcamp TAs Research Overview

其他 2018-05-04 15:40:10 阅读次数: 2

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转载自www.cnblogs.com/ecoflex/p/8990885.html

Deep RL Bootcamp TAs Research Overview

Deep RL Bootcamp Lecture 1: Motivation + Overview + Exact Solution Methods

Deep RL Bootcamp Lecture 6: Nuts and Bolts of Deep RL Experimentation

Deep RL Bootcamp Lecture 3: Deep Q-Networks

Deep RL Bootcamp Lecture 4A: Policy Gradients

Deep RL Bootcamp Lecture 8 Derivative Free Methods

Deep RL Bootcamp Lecture 9 Model-based Reinforcement

Deep RL Bootcamp Lecture 4B Policy Gradients Revisited

Deep RL Bootcamp Lecture 10B Inverse Reinforcement Learning

Deep RL Bootcamp Lecture 5: Natural Policy Gradients, TRPO, PPO

代码overview/architect工具research

A Brief Overview of Deep Learning

0.Overview——Deep Learning

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深度强化学习cs294 Lecture8: Deep RL with Q-Function

深度强化学习（Deep Reinforcement Learning）入门：RL base & DQN-DDPG-A3C introduction

综述论文《Deep Reinforcement Learning and Its Neuroscientific Implications》精华总结 & 近期RL前沿方向汇总

【论文阅读】Parametrized Deep Q-Networks Learning: RL with Discrete-Continuous Hybrid Action Space

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