Journal of Artificial Intelligence Research (JAIR), Volume 13

Volume 13, 2000

• Marco Cadoli, Francesco M. Donini, Paolo Liberatore, Marco Schaerf:
  Space Efficiency of Propositional Knowledge Representation Formalisms. 1-31
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• Milos Hauskrecht:
  Value-Function Approximations for Partially Observable Markov Decision Processes. 33-94
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• Diana F. Gordon:
  Asimovian Adaptive Agents. 95-153
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• Jian Cheng, Marek J. Druzdzel:
  AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks. 155-188
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• Rune M. Jensen, Manuela M. Veloso:
  OBDD-based Universal Planning for Synchronized Agents in Non-Deterministic Domains. 189-226
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• Thomas G. Dietterich:
  Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition. 227-303
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• Alessandro Cimatti, Marco Roveri:
  Conformant Planning via Symbolic Model Checking. 305-338
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