Internal Models and Anticipations in Adaptive Learning Systems (0)

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by Martin V. Butz , Olivier Sigaud , Pierre Gérard
Venue:In Proceedings of the Workshop on Adaptive Behavior in Anticipatory Learning Systems
Citations:34 - 7 self

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41 Rule-based Evolutionary Online Learning Systems: LEARNING BOUNDS, CLASSIFICATION, AND PREDICTION – Martin V. Butz - 2004
4 A Symbol's Role In Learning Low Level Control Functions – Chris Drummond - 1999
1297 Reinforcement learning: a survey – Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore - 1996
3 Learning Methods for Sequential Decision Making with Imperfect Representations – Shivaram Kalyanakrishnan - 2011
4 An Action-Selection Calculus – Mark Witkowski - 2007
Downloaded from adb.sagepub.com at University Library on April 27, 2011An Action-Selection Calculus – Mark Witkowski, Mark Witkowski - 2007
3 Hierarchical Reinforcement Learning: A Hybrid Approach – Malcolm Ross Kinsella Ryan - 2002
1 HIERARCHICAL REINFORCEMENT LEARNING WITH FUNCTION APPROXIMATION FOR ADAPTIVE CONTROL – Margaret Mary Skelly
1 Large-Scale Planning Under Uncertainty: A Survey – Michael L. Littman, Stephen M. Majercik - 1997
175 Algorithms for Sequential Decision Making – Michael Lederman Littman - 1996
Trading off Perception with Internal State: Reinforcement Learning and Analysis of Q-Elman Networks in a Markovian Task – Bram Bakker Gwendid, Bram Bakker - 2000
4 Trading off Perception with Internal State: Reinforcement Learning and Analysis of Q-Elman Networks in a Markovian Task – Bram Bakker, Gwendid van der Voort van der Kleij - 2000
Economics of Distributed Web Search: A Machine Learning Approach – Rinat Khoussainov - 2004
51 Accelerating Reinforcement Learning through Implicit Imitation – Bob Price, Craig Boutilier - 2003
1 A Study on Architecture, Algorithms, and Applications of Approximate Dynamic Programming Based Approach to Optimal Control – Jong Min Lee - 2004
Multi-agent and Adaptive Computation Group – Shimon Whiteson, Hado Van Hasselt, Marco Wiering, Peter Dayan
6 Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning – S. Whiteson , M. E. Taylor, P. Stone - 2009
271 Experiences with an Interactive Museum Tour-Guide Robot – Wolfram Burgard , Armin B. Cremers, Dieter Fox, Dirk Hähnel, Gerhard Lakemeyer, Dirk Schulz , Walter Steiner, Sebastian Thrun - 1998
145 Stochastic Dynamic Programming with Factored Representations – Craig Boutilier, Richard Dearden, Moisés Goldszmidt - 1997