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Reinforcement learning
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#	Item
51	Modular Multitask Reinforcement Learning with Policy Sketches Jacob Andreas 1 Dan Klein 1 Sergey Levine 1 Abstract We describe a framework for multitask deep reinforcement learning guided by policy sketches. Sketches ann Add to Reading List Source URL: proceedings.mlr.press - Date: 2018-02-06 15:06:57
52	OFFER: Off-Environment Reinforcement Learning Kamil Ciosek Shimon Whiteson Department of Computer Science, University of Oxford, United Kingdom Add to Reading List Source URL: www.cs.ox.ac.uk - Date: 2016-11-24 11:20:17
53	Minimax Regret Bounds for Reinforcement Learning Mohammad Gheshlaghi Azar 1 Ian Osband 1 Rémi Munos 1 Abstract We consider the problem of provably optimal Add to Reading List Source URL: proceedings.mlr.press - Date: 2018-02-06 15:06:57
54	Copyright by Michail G. Lagoudakis 2003 EFFICIENT APPROXIMATE POLICY ITERATION METHODS FOR SEQUENTIAL DECISION MAKING IN REINFORCEMENT LEARNING Add to Reading List Source URL: www.intelligence.tuc.gr - Date: 2007-06-22 07:16:07
55	Mapping Instructions and Visual Observations to Actions with Reinforcement Learning + + * * * Add to Reading List Source URL: yoavartzi.com - Date: 2018-04-02 13:13:18
56	Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning Oron Anschel 1 Nir Baram 1 Nahum Shimkin 1 Abstract Add to Reading List Source URL: proceedings.mlr.press - Date: 2018-02-06 15:06:57
57	An Alternative Softmax Operator for Reinforcement Learning Kavosh Asadi 1 Michael L. Littman 1 Abstract A softmax operator applied to a set of values Add to Reading List Source URL: proceedings.mlr.press - Date: 2018-02-06 15:06:57
58	Reinforcement Learning for leanCoP Cezary Kaliszyk Josef Urban Henryk Michalewski Mirek Olšák AITPMarch 28, 2018 Add to Reading List Source URL: cl-informatik.uibk.ac.at - Date: 2018-03-31 16:27:01
59	Autonomous Model Management via Reinforcement Learning - Extended Abstract Elad Liebman Eric Zavesky Add to Reading List Source URL: www.research.att.com - Date: 2018-02-22 18:01:33

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