最近在了解Model-based RL的一些理论结果和发展过程,发现想了解的推导方法和理论基础大多在Reinforcement Learning: Theory and Algorithms一书中可以找到,该书现在还在草稿阶段,同时有一门课程配套,链接如下: Reinforcement Learning: Theory and Algorithmsrltheorybook.github.io/ 我的感觉是在对强化学习的算法,包括...
Title: Reinforcement Learning: Theory and Algorithms Author(s) Alekh Agarwal, Nan Jiang, Sham M. Kakade, Wen Sun Publisher: Self-Publishing (2022) Paperback: N/A eBook: PDF Language: English ISBN-10: N/A ISBN-13: N/A Share This: ...
Returns at successive time steps are related to each other in a way that is important for the theory and algorithms of reinforcement learning: Note that this works for all time steps t < T , even if termination occurs at t + 1, if we define GT = 0. This often makes it easy to com...
Reinforcement learning theory prescribes various algorithms for updating value functions and can parsimoniously account for the results of numerous behavioral, ... D Lee,H Seo - 《Annals of the New York Academy of Sciences》 被引量: 235发表: 2010年 Artificial Neural Networks: Formal Models and ...
Benjamin Van Roy (我自己的PhD Advisor)：研究方向偏理论，最近主要是结合information theory和RL理论做...
Therefore, it is necessary to understand the variety of learning methods, related terminology, and their applicability in the financial field. First, we introduce Markov decision processes, followed by Various algorithms focusing on value and policy-based methods that do not require any model ...
We also introduce several significant but challenging applications of these algorithms. Orthogonal to the existing reviews on MARL, we highlight several new angles and taxonomies of MARL theory, including learning in extensive-form games, decentralized MARL with networked agents, MARL in the mean-...
We also introduce several significant but challenging applications of these algorithms. Orthogonal to the existing reviews on MARL, we highlight several new angles and taxonomies of MARL theory, including learning in extensive-form games, decentralized MARL with networked agents, MARL in the mean-...
The goal of this paper was to provide a comprehensive review of reinforcement learning about theory,algorithms and applications. First of all,this paper surveyed the foundation,model of environment of reinforcement learning. Discussed the convergence and generalization of the algorithms in the next. ...
Algorithms for Reinforcement Learning, Szepesvari:很多经典的强化学习算法里面都有。 《强化学习精要:核心算法与TensorFlow 实现》:这本书是我偶然在实验室的一个书柜里面找到的,随手翻了一下发现写的挺好的,这本书和Sutton的书是我平时用的最多的了。 代码库 OpenAI Spinning Up Baselines Stable-Baselines Ray/...