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