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Toward a modern theory of adaptive networks: Expectation and prediction

, и . Psychological Review, (1981)

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S. R. Keshava

Murti von R S Devarakonda

William Banks Sutton

Teresa S L R A Terreri

S Danischewski

 

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Multi-Time Models for Temporally Abstract Planning, и . Advances in Neural Information Processing Systems 10, MIT Press, (1998)Multi-Time Models for Reinforcement Learning, и . ICML'97 Workshop: The Role of Models in Reinforcement Learning, (1997)An Adaptive Network That Constructs and Uses an Internal Model of its World, и . Cognition and Brain Theory, (1981)Planning with Closed-Loop Macro Actions, , и . Working Notes of the AAAI Fall Symposium '97 on Model-directed Autonomous Systems, стр. 70--76. (1997)Integrated Architectures for Learning, Planning and Reacting based on Dynamic Programming. Machine Learning: Proceedings of the Seventh International Workshop, (1990)Integrated Modeling and Control Based on Reinforcement Learning and Dynamic Programming. Advances in Neural Information Processing Systems 3, стр. 471--478. Morgan Kaufmann, (1991)Toward a modern theory of adaptive networks: Expectation and prediction, и . Psychological Review, (1981)Policy Gradient Methods for Reinforcement Learning with Function Approximation, , , и . Advances in Neural Information Processing Systems, 12, стр. 1057--1063. The MIT Press, (2000)(Proceedings NIPS-99, Denver, Colorado, USA, November 29 - December 4, 1999).Learning and Sequential Decision Making, , и . Learning and Computational Neuroscience, MIT Press, Cambridge, MA, (1991)Learning and Sequential Decision Making, , и . COINS Technical Report 89-95. University of Massachusetts, Amherst, (1989)