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

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發(fā)表于 2025-3-21 17:29:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Recent Advances in Reinforcement Learning
副標(biāo)題9th European Worksho
編輯Scott Sanner,Marcus Hutter
視頻videohttp://file.papertrans.cn/823/822971/822971.mp4
概述Fast-track conference proceedings.State-of-the-art research.Up-to-date results
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Recent Advances in Reinforcement Learning; 9th European Worksho Scott Sanner,Marcus Hutter Conference proceedings 2012 Springer-Verlag Berl
描述This book constitutes revised and selected papers of the 9th European 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, function approximation methods for reinforcement learning, macro-actions in reinforcement learning, policy search and bounds, multi-task and transfer reinforcement learning, multi-agent reinforcement learning, apprenticeship and inverse reinforcement learning and real-world reinforcement learning.
出版日期Conference proceedings 2012
關(guān)鍵詞bayesian inference; multitask learning; predictive state representation; real-time control; recommender
版次1
doihttps://doi.org/10.1007/978-3-642-29946-9
isbn_softcover978-3-642-29945-2
isbn_ebook978-3-642-29946-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
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沙發(fā)
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978-3-642-29945-2Springer-Verlag Berlin Heidelberg 2012
地板
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5#
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Scott Sanner,Marcus HutterFast-track conference proceedings.State-of-the-art research.Up-to-date results
6#
發(fā)表于 2025-3-22 14:14:41 | 只看該作者
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.
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發(fā)表于 2025-3-22 19:57:12 | 只看該作者
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
8#
發(fā)表于 2025-3-22 23:55:15 | 只看該作者
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
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