THE FOLK THEOREM IN REPEATED GAMES WITH PRIVATE MONITORING Takuo Sugaya A DISSERTATION

Source URL: www.princeton.edu

• Cheap talk
• Reinforcement learning
• Economic model
• Economics
• Science
• Information
• Game theory
• Mathematical economics
• Asymmetric information

Tools for Knowledge Workers Kurt Lewin meets B.F. Skinner You are probably familiar with Kurt Lewin’s Force Field Theory. You might also be familiar with B.F. Skinner’s Reinforcement Theory. But did you know that the

Source URL: www.nickols.us

IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. 4, NO. 1, MARCHA Survey of Monte Carlo Tree Search Methods Cameron Browne, Member, IEEE, Edward Powley, Member, IEEE, Daniel Whitehouse, Memb

Source URL: www.doc.ic.ac.uk

• Graph theory
• Search algorithms
• Game theory
• Computer chess
• Combinatorial game theory
• Minimax
• Reinforcement learning
• Expectiminimax tree
• Negamax
• Mathematics
• Game artificial intelligence
• Artificial intelligence

Microsoft Word - Relational Frame Theory

Source URL: www.actmindfully.com.au

• Philosophy of psychology
• Relational frame theory
• Operant conditioning
• Cookie
• Reinforcement
• HTTP cookie
• Learning
• Relation
• Property
• Behaviorism
• Philosophy of mind
• Behavior

Solving Multi-agent Markov Decision Processes: A Forest Management Example

Source URL: www.mssanz.org.au

• Mathematical sciences
• Markov models
• Dynamic programming
• Stochastic control
• Operations research
• Reinforcement learning
• Q-learning
• Markov decision process
• Multi-agent system
• Statistics
• Markov processes
• Control theory

CAPIR: Collaborative Action Planning with Intention Recognition Truong-Huy Dinh Nguyen and David Hsu and Wee-Sun Lee and Tze-Yun Leong Department of Computer Science, National University of Singapore, Singapore, S

Source URL: www.comp.nus.edu.sg

• Stochastic control
• Markov models
• Artificial intelligence
• Action selection
• Markov decision process
• Reinforcement learning
• Ghostbusters
• Decision theory
• Markov chain
• Statistics
• Markov processes
• Dynamic programming

Cyclic Game Dynamics Driven by Iterated Reasoning Seth Frey*, Robert L. Goldstone Cognitive Science, Indiana University, Bloomington, Indiana, United States of America Abstract Recent theories from complexity science arg

Source URL: www.indiana.edu

• Game theory
• Attractor
• Chaos theory
• Centipede game
• Statistical hypothesis testing
• Dynamical system
• Free will
• Reinforcement
• Behavioral economics
• Science
• Behavior
• Statistics

Journal of Artificial Intelligence Research Submitted 8/08; published 2/09 Policy Iteration for Decentralized Control of Markov Decision Processes

Source URL: jair.org

• Markov processes
• Stochastic control
• Mathematical sciences
• Operations research
• Partially observable Markov decision process
• Markov decision process
• Reinforcement learning
• Mathematical optimization
• Algorithm
• Statistics
• Control theory
• Dynamic programming

Cliff, D. and Miller, GTracking the red queen: Measurements of adaptive progress in co-evolutionary simulations. In Third European Conference on Artificial Life, pages 200–218. Crites, R. and Barto, A)

Source URL: www.demo.cs.brandeis.edu

• Science
• Cybernetics
• Neurogammon
• TD-Gammon
• Game theory
• Artificial neural network
• Reinforcement learning
• Learning
• Genetic algorithm
• Games
• Backgammon
• Machine learning

EM for Perceptual Coding and Reinforcement Learning Tasks Yuri Ivanov Bruce Blumberg Alex Pentland

Source URL: characters.media.mit.edu

• Estimation theory
• Expectation–maximization algorithm
• Missing data
• Reinforcement learning
• Mixture model
• Q-learning
• Algorithm
• Pattern recognition
• Statistics
• Machine learning
• Computational statistics