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Q-learning
Results: 742

#	Item
21	Increasing the Action Gap: New Operators for Reinforcement Learning Marc G. Bellemare and Georg Ostrovski and Arthur Guez Philip S. Thomas∗ and R´emi Munos Google DeepMind {bellemare,ostrovski,aguez,munos}@google.com; Add to Reading List Source URL: psthomas.com Language: English - Date: 2015-12-12 00:05:18 Mathematics Mathematical optimization Dynamic programming Mathematical analysis Equations Operations research Systems theory Stochastic control Bellman equation Markov decision process Q-learning Reinforcement learning
22	Evolutionary Feature Evaluation for Online Reinforcement Learning Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Cognitive science Cognition Artificial intelligence Machine learning Belief revision Reinforcement learning Temporal difference learning Q-learning Feature selection Supervised learning Proto-value functions Action selection
23	Paper Title (use style: paper title) Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Artificial intelligence Computer programming Cognitive science Software engineering Predation Automated planning and scheduling Behavior Q-learning Behavior tree Reinforcement learning B-tree Ethology
24	LEARNING SIMPLE TEXTURE DISCRIMINATION FILTERS Rui F. C. Guerreiro Pedro M. Q. Aguiar Institute for Systems and Robotics, Instituto Superior T´ecnico Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2010-06-29 10:21:08 Algebra Mathematics Mathematical analysis Image processing Functional analysis Linear filters Feature detection Filter theory Image texture Convolution Distribution Filter
25	Continuous Deep Q-Learning with Model-based Acceleration arXiv:1603.00748v1 [cs.LG] 2 Mar 2016 Shixiang Gu1 2 3 SG 717@ CAM . AC . UK Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-03-02 20:31:58 Artificial intelligence Machine learning Computational neuroscience Learning Applied mathematics Artificial neural network Mathematical psychology Q-learning Reinforcement learning Supervised learning Feature learning Temporal difference learning
26	Using Plan-Based Reward Shaping To Learn Strategies in StarCraft: Broodwar Kyriakos Efthymiadis Daniel Kudenko Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Cognitive science Cognition Dynamic programming Markov processes Stochastic control Artificial intelligence Belief revision Reinforcement learning Q-learning Markov decision process Action selection Machine learning
27	Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan† ROCKYDUAN @ EECS . BERKELEY. EDU Xi Chen† C . XI @ EECS . BERKELEY. EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-07-20 01:41:07 Machine learning Applied mathematics Artificial intelligence Computational neuroscience Artificial neural networks Computational statistics Mathematical psychology Deep learning Reinforcement learning Recurrent neural network Q-learning Speech recognition
28	+Mountaineering in Mongolia June 23 – July 13, 2016 LOCATION: Mongolia GUIDE: Helen Sovdat CAMP MANAGER: Brenda Critchley Add to Reading List Source URL: www.alpineclubofcanada.ca Language: English - Date: 2015-05-28 13:34:05 Scoutcraft Outdoor recreation Learning Leisure Mountaineering Backpacking Ulaanbaatar Camping Mongolia Q Hiking Backpack
29	BOOKS ABOUT QUALITY VOCABULARY Cityhalllosangeles.com QUALITY VOCABULARY Add to Reading List Source URL: q.cityhalllosangeles.com Language: English - Date: 2015-03-05 01:53:23 Learning to read Language Lexicography Vocabulary Quality assurance Thesauri Controlled vocabularies
30	SWIRL: A Sequential Windowed Inverse Reinforcement Learning Algorithm for Robot Tasks With Delayed Rewards Sanjay Krishnan, Animesh Garg, Richard Liaw, Brijen Thananjeyan, Lauren Miller, Florian T. Pokorny∗ , Ken Goldb Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2016-07-21 11:29:30 Belief revision Reinforcement learning Q-learning Apprenticeship learning Dynamic programming Machine learning Algorithm Robotics Support vector machine