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IP屬地：廣東
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策略迭代(Policy Iteration)1. 策略迭代算法： 初始化.策略評估：(一般而言，下式中為固定策略由于策略更新)策略更新：如果與上次迭代相比沒有變化，則停止；否則，轉(zhuǎn)回2螟加。 ...
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Model-based RL
注：以下內(nèi)容基于CS598. 1. Estimate Model 給定數(shù)據(jù)集, 采用極大似然對模型進(jìn)行估計(jì)。用表示的樣本數(shù)。 2. Analys...
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CS598 Homework 1Question 1 Solution Thus, although there exists constant , it doesn't af...
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統(tǒng)計(jì)強(qiáng)化學(xué)習(xí)(Statistical Reinforcement Learning)UIUC的Prof. Nan Jiang(姜楠)新開了一門Statistical Reinforcement Learning哈扮，課程主頁在這里。...
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增強(qiáng)學(xué)習(xí)資源
增強(qiáng)學(xué)習(xí)是機(jī)器學(xué)習(xí)的一個重要分支蚓再。 如果您已經(jīng)具備機(jī)器學(xué)習(xí)滑肉、深度學(xué)習(xí)的基本知識，可以直接上手增強(qiáng)學(xué)習(xí)摘仅，這里推薦UC Berkerly的cs294...
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馬爾科夫決策過程解法(Solution to MDP)1. 馬爾科夫決策過程 馬爾科夫決策過程(Markov Decision Process) 是一個由4個元素組成的元祖組成靶庙。 為狀態(tài); 為動作;...
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Introduction to Coordination in Multi-Agent Reinforcement LearningIt is a fact that we live in a world involving interaction with others, ...
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Papers of Multi Agent Reinforcement Learning(MARL)
Papers in Multi-Agent Reinforcement Learning(MARL) This is my paper list...
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Notes of Reinforcement Learning in ICML 2018ICML-2018 Seminar Notes There is a productive and meaningful seminar in ...
個人介紹
Do you know that the hard thing and the right thing are the same thing?