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51	Microsoft Word - Applying GA for Reward Allotment in an Event-driven Hybrid Learning Classifier System for Soccer Video Games Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:34 Applied mathematics Cybernetics Artificial intelligence Machine learning Evolutionary algorithms Mathematical optimization Search algorithms Learning classifier system Genetic algorithm Q-learning Reinforcement learning Statistical classification
52	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Truncated Approximate Dynamic Programming with Task-Dependent Terminal Value Farahmand, A.-M.; Nikovski, D.N.; Igarashi, Y.; Konaka, H. Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-04-13 11:53:14 Mathematical optimization Operations research Dynamic programming Markov processes Stochastic control Markov decision process Reinforcement learning Convolution Optimal control Q-learning
53	A B FA F O U N D AT I O N C O U R S E ST UDENT Q UEST IO NS AND ANSWERS SHEE T The Foundation course is the first level of the ABFA’s Distance Learning Programme. 1. How many modules are there? Add to Reading List Source URL: www.factors.org.uk Language: English - Date: 2016-01-25 07:38:17 Education Standardized tests Academic transfer Education reform Grading systems by country Test Diploma in Digital Applications
54	Social Learning Methods in Board Game Agents Vukosi N. Marivate, Student Member, Tshilidzi Marwala, Senior Member, IEEE this has on the overall performance of the different agents created. This paper focuses on improving Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:38 Cognitive science Cognition Artificial intelligence Academia Multi-agent systems Belief revision Complex systems theory Simulation Intelligent agent Reinforcement learning Q-learning Agent-based model
55	Learning and Knowledge Generation in General Games Shiven Sharma, Ziad Kobti, Scott Goodwin Abstract— General Game Playing (GGP) aims at developing game playing agents that are able to play a variety of games and in th Add to Reading List Source URL: www.csse.uwa.edu.au Language: English Machine learning Artificial intelligence Game artificial intelligence Applied mathematics Computational neuroscience Game theory Cybernetics Ant colony optimization algorithms General game playing Reinforcement learning Computer Go Q-learning
56	Using Reinforcement Learning for City Site Selection in the Turn-Based Strategy Game Civilization IV Stefan Wender, Ian Watson Abstract— This paper describes the design and implementation of a reinforcement learner bas Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:38 Windows games Reinforcement learning Q-learning Civilization V Civilization IV Artificial intelligence Machine learning Civilization Freeciv Learning AI War: Fleet Command
57	Be a BUILD Mentor! Frequently Asked Questions Q: What qualities do you look for in a mentor? A: It’s important that our mentors believe in higher education and the importance of access to college for all youth, regardl Add to Reading List Source URL: build.org Language: English - Date: 2015-10-15 15:29:42 Education Learning Alternative education Human resource management Internships Mentorship Peer mentoring Ignition
58	J. Fluid Mech), vol. 789, pp. 726–749. doi:jfmc Cambridge University Press 2016 Add to Reading List Source URL: www.mattiagazzola.com Language: English - Date: 2016-01-27 12:00:48 Fisheries Fluid dynamics Mathematical analysis Dipole Electromagnetism Potential theory Reinforcement learning Swarm behaviour Shoaling and schooling Vorticity Q-learning Markov decision process
59	Estimating Learning Rates in Evolution and TDL: Results on a Simple Grid-World Problem Simon M. Lucas Abstract— When learning to play a game or perform some task, it is important to learn as quickly and effectively as Add to Reading List Source URL: game.itu.dk Language: English - Date: 2010-08-10 12:41:00 Applied mathematics Cybernetics Machine learning Cognitive science Evolution Genetic algorithms Mathematical optimization Q-learning Reinforcement learning Artificial neural network Evolutionary computation Evolutionary algorithm
60	LETTER doi:nature14236 Human-level control through deep reinforcement learning Add to Reading List Source URL: storage.googleapis.com Language: English - Date: 2016-01-26 06:53:21 Artificial intelligence Machine learning Computational neuroscience Applied mathematics Cybernetics Q-learning Artificial neural networks Reinforcement learning Convolutional neural network DQN Markov decision process Supervised learning

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