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Reinforcement learning
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231	Multi-Armed Bandit Models for 2D Grasp Planning with Uncertainty Michael Laskey1 , Jeff Mahler1 , Zoe McCarthy1 , Florian T. Pokorny1 , Sachin Patil1 , Jur van den Berg4 , Danica Kragic3 , Pieter Abbeel1 , Ken Goldberg2 Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2015-08-31 02:12:22 Statistics Probability Child development Grasp Reinforcement learning Gittins index Gaussian process Sensitivity analysis Monte Carlo integration Probability distribution Monte Carlo method Sampling
232	Generating Notifications for Missing Actions: Don’t forget to turn the lights off! Bilge Soran, Ali Farhadi† , Linda Shapiro* † University of Washington Add to Reading List Source URL: ai2-website.s3.amazonaws.com Language: English* - Date: 2016-05-10 13:04:35 Artificial intelligence Machine learning Philosophy Conference on Computer Vision and Pattern Recognition Image segmentation Market segmentation Activity recognition Marketing Reinforcement learning Causality Support vector machine
233	Reinforcement Learning: Part 2 Chris Watkins Department of Computer Science Royal Holloway, University of London July 27, 2015 Add to Reading List Source URL: mlss.tuebingen.mpg.de Language: English - Date: 2015-07-27 06:34:23
234	HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards arXiv:1604.06508v1 [cs.RO] 21 AprSanjay Krishnan, Animesh Garg, Richard Liaw, Lauren Miller, Florian T. Pokorny, Ken Go Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-04-24 20:34:06
235	Deep Reinforcement Learning John Schulman 1 MLSS, May 2016, Cadiz Add to Reading List Source URL: learning.mpi-sws.org Language: English - Date: 2016-05-21 06:35:54
236	Reinforcement Learning: Dynamic Programming Csaba Szepesvári University of Alberta Kioloa, MLSS’08 Slides: http://www.cs.ualberta.ca/~szepesva/MLSS08/ Add to Reading List Source URL: mlss08.rsise.anu.edu.au Language: English - Date: 2008-03-12 17:54:41
237	Introduction Reinforcement Learning Act Learn Add to Reading List Source URL: ssll.cecs.anu.edu.au Language: English - Date: 2009-01-19 22:50:06
238	Scheduled Perception for Energy-Efficient Path Following Peter Ondr´usˇka, Corina Gur˘au, Letizia Marchegiani, Chi Hay Tong and Ingmar Posner Abstract— This paper explores the idea of reducing a robot’s energy con Add to Reading List Source URL: europa2.informatik.uni-freiburg.de Language: English - Date: 2015-10-09 11:43:42 Physics Mathematical optimization Engineering Robotics Systems science Work Dynamic programming Reinforcement learning
239	Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics Tobias Gindele? J¨ org Wagner? Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-06-06 23:29:34
240	Using Markov Decision Theory to Provide a Fair Challenge in a Roll-and-Move Board Game ´ Eric Beaudry, Francis Bisson, Simon Chamberland and Froduald Kabanza various means. For example, artificial players may have a Add to Reading List Source URL: game.itu.dk Language: English - Date: 2010-08-10 12:41:00 Dynamic programming Markov processes Mathematical optimization Mathematical analysis Probability theory Systems theory Operations research Equations Markov decision process Bellman equation Markov chain Reinforcement learning

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