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Reinforcement learning
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81	Artificial Intelligence–211 Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning Richard S. Sutton a,∗ , Doina Precup b , Satinder Singh a Add to Reading List Source URL: webdocs.cs.ualberta.ca - Date: 2008-03-04 23:12:15
82	Journal of Machine Learning Research (EWRL SeriesSubmitted 9/16; PublishedValue-Aware Loss Function for Model Learning in Reinforcement Learning Add to Reading List Source URL: ewrl.files.wordpress.com - Date: 2016-11-21 10:27:58
83	Local-utopia Policy Selection for Multi-objective Reinforcement Learning Simone Parisi1 , Alexander Blank1 , Tobias Viernickel1 , Jan Peters1,2 Abstract—Many real-world applications are characterized by multiple confli Add to Reading List Source URL: www.ausy.tu-darmstadt.de - Date: 2016-10-15 15:12:34
84	Spectral Methods for Reinforcement Learning Alessandro LAZARIC (Inria-Lille) European Workshop on Reinforcement Learning (EWRL-13) Barcelona, Spain SequeL – Inria Lille Add to Reading List Source URL: ewrl.files.wordpress.com - Date: 2016-12-16 09:17:13
85	Safe and efficient off-policy reinforcement learning Remi Munos, Tom Stepleton, Anna Harutyunyan, Marc Bellemare Two desired properties of a RL algorithm: ● Off-policy learning Add to Reading List Source URL: ewrl.files.wordpress.com - Date: 2016-12-14 09:04:03
86	IEEE ROBOTICS & AUTOMATION MAGAZINE, VOL. 17, NO. 2, JUNEImitation and Reinforcement Learning Practical Learning Algorithms for Motor Primitives in Robotics Add to Reading List Source URL: www.ias.informatik.tu-darmstadt.de - Date: 2012-02-21 11:46:28
87	Deep Reinforcement Learning Solutions for Energy Microgrids Management Vincent François-Lavet David Taralla Damien Ernst Raphael Fonteneau Add to Reading List Source URL: ewrl.files.wordpress.com - Date: 2016-11-21 10:27:34
88	Non-stationary Policy Learning in 2-player Zero Sum Games Content Areas: machine learning, Markov decision processes, reinforcement learning Abstract A key challenge in multiagent environments is the construction of agen Add to Reading List Source URL: www-users.cs.umn.edu - Date: 2006-11-09 12:47:53
89	In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2004), pp, New Orleans, LA, MayPolicy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion Nate Kohl and P Add to Reading List Source URL: www.cs.utexas.edu - Date: 2006-05-15 16:34:24
90	Apprenticeship Learning via Inverse Reinforcement Learning Pieter Abbeel Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, USA Abstract Add to Reading List Source URL: ai.stanford.edu - Date: 2004-04-27 14:28:36

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