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Reinforcement theory
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121	Machine Learning for Adversarial Agent Microworlds Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:49:06 Artificial intelligence Computational neuroscience Reinforcement learning Simulation Q-learning Temporal difference learning Game theory Machine learning Reinforcement Statistics Science Mathematics
122	Conditional Random Fields for Multi-agent Reinforcement Learning Xinhua Zhang [removed] Douglas Aberdeen [removed] Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-06-21 14:46:49 Estimation theory Machine learning Conditional random field Theoretical computer science Reinforcement learning Loss function Markov decision process Rao–Blackwell theorem Bayesian network Statistics Graphical models Statistical theory
123	How to Spice up your Planning under Uncertainty Research Life Scott Sanner Statistical Machine Learning Group NICTA, Australian National University Canberra, Australia [removed] Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2008-07-26 06:52:13 Neuropsychological assessment Operations research Decision theory Automated planning and scheduling Planning Domain Definition Language Systems engineering Reinforcement learning Stochastic Decision making Statistics Science Probability and statistics
124	How to use a reward chart for motivation A reward system can be used to help people achieve their personal goals. It uses positive reinforcement to make lifestyle changes. Always start small and slowly build upon the cha Add to Reading List Source URL: healthyweightweek.com.au Language: English - Date: 2014-11-06 23:41:48 Human behavior Motivation Behaviorism Reinforcement Mind Philosophy of mind Cognitive evaluation theory Behavior Cognition Experimental psychology
125	Practical Solution Techniques for First-order MDPs ⋆ Scott Sanner ∗ Statistical Machine Learning Group National ICT Australia Canberra, ACT, 0200, Australia Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2008-11-29 09:22:37 Operations research Control theory Equations Mathematical optimization Stochastic control Reinforcement learning Markov decision process Bellman equation Automated planning and scheduling Statistics Mathematics Dynamic programming
126	Ann Math Artif Intell DOI[removed]s10472[removed]A unifying learning framework for building artificial game-playing agents Wenlin Chen · Yixin Chen · David K. Levine Add to Reading List Source URL: levine.sscnet.ucla.edu Language: English - Date: 2015-02-11 05:55:08 Science Best response Normal-form game Nash equilibrium Repeated game Strategy Reinforcement learning Machine learning Outcome Game theory Problem solving Economics
127	HTTP-based Adaptive Streaming for Mobile Clients using Markov Decision Process Ayub Bokani, Mahbub Hassan, Salil Kanhere School of Computer Science and Engineering, The University of New South Wales, Sydney 2052 NSW, Aus Add to Reading List Source URL: www.cse.unsw.edu.au Language: English - Date: 2014-01-23 18:55:11 Markov models Multimedia Dynamic programming Markov decision process Stochastic control Reinforcement learning Respect Streaming media Statistics Control theory Concurrent computing
128	Approximately Efficient Online Mechanism Design David C. Parkes DEAS, Maxwell-Dworkin Harvard University Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2005-01-05 13:04:15 Operations research Science Dynamic programming Markov processes Stochastic control Reinforcement learning Mechanism design Markov decision process Vickrey–Clarke–Groves auction Statistics Control theory Game theory
129	From: AAAI-93 Proceedings. Copyright © 1993, AAAI (www.aaai.org). All rights reserved. Planning Thomas Wit Add to Reading List Source URL: aaai.org Language: English - Date: 2006-01-09 21:10:32 Control theory Mathematical optimization Equations Reinforcement learning Automated planning and scheduling Anytime algorithm Algorithm Dynamic programming Shortest path problem Mathematics Operations research Applied mathematics
130	Learning Predictive State Representations [removed] Satinder Singh Computer Science and Engineering, University of Michigan Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2003-11-08 15:06:01 Stochastic control Markov models Estimation theory Expectation–maximization algorithm Markov decision process Reinforcement learning Machine learning Algorithm Normal distribution Statistics Dynamic programming Markov processes