【LEARNING TO NAVIGATE IN COMPLEX ENVIRONMENTS】的更多相关文章

LEARNING TO NAVIGATE IN COMPLEX ENVIRONMENTS

任务是地图里面导航,让agent从起始点到达指定位置. 用了supervised learning + reinforcement learning + lstm 用supervised learning当做辅助训练,加速rl训练,用lstm当做memory.实验表明depth construction比较有用.论文中的方法在固定地图和随机地图中都能用.…

Biologically Inspired Reinforcement Learning: Reward-Based Decomposition for Multi-goal Environments

郑重声明:原文参见标题,如有侵权,请联系作者,将会撤销发布! Abstract 我们提出了一种基于情绪的分层强化学习(HRL)算法,用于具有多种奖励来源的环境.该系统的架构受到大脑神经生物学的启发,特别是负责情绪,决策和行为执行的区域,分别是杏仁核,眶额皮质和基底神经节.学习问题根据奖励的来源而分解.奖励源用作给定子任务的目标.为每个子任务分配了一个人工情绪指示(AEI),该AEI可预测与该子任务相关的奖励成分.同时学习AEI和顶层策略,并在AEI发生重大变化时中断子任务的执行.该算法在具有两个…

（转）Paper list of Meta Learning/ Learning to Learn/ One Shot Learning/ Lifelong Learning

Meta Learning/ Learning to Learn/ One Shot Learning/ Lifelong Learning 2018-08-03 19:16:56 本文转自:https://github.com/floodsung/Meta-Learning-Papers 1 Legacy Papers [1] Nicolas Schweighofer and Kenji Doya. Meta-learning in reinforcement learning. Neural…

18 Issues in Current Deep Reinforcement Learning from ZhiHu

深度强化学习的18个关键问题 from: https://zhuanlan.zhihu.com/p/32153603 85 人赞了该文章 深度强化学习的问题在哪里?未来怎么走?哪些方面可以突破? 这两天我阅读了两篇篇猛文A Brief Survey of Deep Reinforcement Learning 和 Deep Reinforcement Learning: An Overview ,作者排山倒海的引用了200多篇文献,阐述强化学习未来的方向.原文归纳出深度强化学习中的常见科学问题,…

(zhuan) Where can I start with Deep Learning?

Where can I start with Deep Learning? By Rotek Song, Deep Reinforcement Learning/Robotics/Computer Vision/iOS | 03/01/2017   If you are a newcomer to the Deep Learning area, the first question you may have is “Which paper should I start reading from?…

(zhuan) 一些RL的文献（及笔记）

一些RL的文献(及笔记) copy from: https://zhuanlan.zhihu.com/p/25770890  Introductions Introduction to reinforcement learningIndex of /rowan/files/rl ICML Tutorials:http://icml.cc/2016/tutorials/deep_rl_tutorial.pdf NIPS Tutorials:CS 294 Deep Reinforcement Lea…

(zhuan) 126 篇殿堂级深度学习论文分类整理 从入门到应用

126 篇殿堂级深度学习论文分类整理 从入门到应用 | 干货 雷锋网 作者: 三川 2017-03-02 18:40:00 查看源网址 阅读数:66 如果你有非常大的决心从事深度学习,又不想在这一行打酱油,那么研读大牛论文将是不可避免的一步.而作为新人,你的第一个问题或许是:“论文那么多,从哪一篇读起?” 本文将试图解决这个问题——文章标题本来是:“从入门到绝望,无止境的深度学习论文”.请诸位备好道具,开启头悬梁锥刺股的学霸姿势. 开个玩笑. 但对非科班出身的开发者而言,读论文的确可以成为一件很…

zz深度学习论文合集大全

    Pull requestsIssues Marketplace Explore             Learn Git and GitHub without any code! Using the Hello World guide, you’ll start a branch, write comments, and open a pull request. Read the guide Watch 2,133  Star23,826 Fork5,417 floodsung/Dee…

What are some good books/papers for learning deep learning?

What's the most effective way to get started with deep learning?       29 Answers     Yoshua Bengio, My lab has been one of the three that started the deep learning approach, back in 2006, along with Hinton's... Answered Jan 20, 2016   Originally Ans…

[DQN] What is Deep Reinforcement Learning

已经成为DL中专门的一派,高大上的样子 Intro: MIT 6.S191 Lecture 6: Deep Reinforcement Learning Course: CS 294: Deep Reinforcement Learning Jan 18: Introduction and course overview (Levine, Finn, Schulman) Slides: Levine Slides: Finn Slides: Schulman Video Why deep rei…