ODDS 发表于 2025-3-21 17:29:48

书目名称Recent Advances in Reinforcement Learning影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0822971<br><br>        <br><br>书目名称Recent Advances in Reinforcement Learning影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0822971<br><br>        <br><br>书目名称Recent Advances in Reinforcement Learning网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0822971<br><br>        <br><br>书目名称Recent Advances in Reinforcement Learning网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0822971<br><br>        <br><br>书目名称Recent Advances in Reinforcement Learning被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0822971<br><br>        <br><br>书目名称Recent Advances in Reinforcement Learning被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0822971<br><br>        <br><br>书目名称Recent Advances in Reinforcement Learning年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0822971<br><br>        <br><br>书目名称Recent Advances in Reinforcement Learning年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0822971<br><br>        <br><br>书目名称Recent Advances in Reinforcement Learning读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0822971<br><br>        <br><br>书目名称Recent Advances in Reinforcement Learning读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0822971<br><br>        <br><br>

PAEAN 发表于 2025-3-22 00:15:24

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Vsd168 发表于 2025-3-22 00:24:52

978-3-642-29945-2Springer-Verlag Berlin Heidelberg 2012

Conquest 发表于 2025-3-22 05:51:01

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Evocative 发表于 2025-3-22 11:24:11

Scott Sanner,Marcus HutterFast-track conference proceedings.State-of-the-art research.Up-to-date results

来自于 发表于 2025-3-22 14:14:41

Handling Ambiguous Effects in Action Learningcts from transitions in which they are ambiguous. We give an unbiased, maximum likelihood approach, and show that maximally likely actions can be computed efficiently from observations. We also discuss how this study can be used to extend an RL approach for actions with independent effects to one for actions with correlated effects.

维持 发表于 2025-3-22 19:57:12

0302-9743 uropean Workshop on Reinforcement Learning, EWRL 2011, which took place in Athens, Greece in September 2011. The papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections online reinforcement learning, learning and exploring MDPs, functio

DIKE 发表于 2025-3-22 23:55:15

0302-9743 cement learning, multi-agent reinforcement learning, apprenticeship and inverse reinforcement learning and real-world reinforcement learning.978-3-642-29945-2978-3-642-29946-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

hegemony 发表于 2025-3-23 05:16:29

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cushion 发表于 2025-3-23 07:53:26

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查看完整版本: Titlebook: Recent Advances in Reinforcement Learning; 9th European Worksho Scott Sanner,Marcus Hutter Conference proceedings 2012 Springer-Verlag Berl