Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making
Sequence Learning - Paradigms, Algorithms, and Applications
A POMDP formulation of preference elicitation problems
Eighteenth national conference on Artificial intelligence
Region-based value iteration for partially observable Markov decision processes
ICML '06 Proceedings of the 23rd international conference on Machine learning
Point-Based Value Iteration for Continuous POMDPs
The Journal of Machine Learning Research
Partially Observable Markov Decision Process Approximations for Adaptive Sensing
Discrete Event Dynamic Systems
Value-function approximations for partially observable Markov decision processes
Journal of Artificial Intelligence Research
Speeding up the convergence of value iteration in partially observable Markov decision processes
Journal of Artificial Intelligence Research
Finding approximate POMDP solutions through belief compression
Journal of Artificial Intelligence Research
Perseus: randomized point-based value iteration for POMDPs
Journal of Artificial Intelligence Research
Anytime point-based approximations for large POMDPs
Journal of Artificial Intelligence Research
Policy iteration for decentralized control of Markov decision processes
Journal of Artificial Intelligence Research
A model approximation scheme for planning in partially observable stochastic domains
Journal of Artificial Intelligence Research
A bilinear programming approach for multiagent planning
Journal of Artificial Intelligence Research
Solving POMDPs with continuous or large discrete observation spaces
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Distributed spectrum sensing and access in cognitive radio networks with energy constraint
IEEE Transactions on Signal Processing
A heuristic variable grid solution method for POMDPs
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Approximately optimal monitoring of plan preconditions
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Value-directed belief state approximation for POMDPs
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Planning with partially observable Markov decision processes: advances in exact solution method
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Incremental pruning: a simple, fast, exact method for partially observable Markov decision processes
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Region-based approximations for planning in stochastic domains
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Robust online optimization of reward-uncertain MDPs
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
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