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Computational Intelligence
An algorithm for probabilistic least-commitment planning
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Abstraction and approximate decision-theoretic planning
Artificial Intelligence
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Dynamic Programming
Exploiting structure in policy construction
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Solving very large weakly coupled Markov decision processes
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Self-Similar Layered Hidden Markov Models
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Piecewise linear value function approximation for factored MDPs
Eighteenth national conference on Artificial intelligence
Coarticulation: an approach for generating concurrent plans in Markov decision processes
ICML '05 Proceedings of the 22nd international conference on Machine learning
Practical solution techniques for first-order MDPs
Artificial Intelligence
A web-based intelligent system for the Daya Bay contingency plan in Hong Kong
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
An overview of planning under uncertainty
Artificial intelligence today
Automated large-scale control of gene regulatory networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Combining reinforcement learning with symbolic planning
ALAMAS'05/ALAMAS'06/ALAMAS'07 Proceedings of the 5th , 6th and 7th European conference on Adaptive and learning agents and multi-agent systems: adaptation and multi-agent learning
Solving efficiently Decentralized MDPs with temporal and resource constraints
Autonomous Agents and Multi-Agent Systems
Probabilistic rule learning in nonmonotonic domains
CLIMA'11 Proceedings of the 12th international conference on Computational logic in multi-agent systems
Simulating UAV Surveillance for Analyzing Impact of Commitments in Multi-Agent Systems
International Journal of Agent Technologies and Systems
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In order to rank the performance of machine learning algorithms, many researchers conduct experiments on benchmark data sets. Since most learning algorithms have domain-specific parameters, it is a popular custom to adapt these parameters to obtain a ...