Learning predictive representations from a history
ICML '05 Proceedings of the 22nd international conference on Machine learning
Incremental least squares policy iteration for POMDPs
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
A variance analysis for POMDP policy evaluation
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Value-function approximations for partially observable Markov decision processes
Journal of Artificial Intelligence Research
Planning and acting in partially observable stochastic domains
Artificial Intelligence
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Analyzing and escaping local optima in planning as inference for partially observable domains
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Influence diagrams with memory states: representation and algorithms
ADT'11 Proceedings of the Second international conference on Algorithmic decision theory
Solving POMDPs by searching the space of finite policies
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning finite-state controllers for partially observable environments
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Solving POMDPs by searching in policy space
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
An optimal best-first search algorithm for solving infinite horizon DEC-POMDPs
ECML'05 Proceedings of the 16th European conference on Machine Learning
Solving an Infinite Horizon Adverse Selection Model Through Finite Policy Graphs
Operations Research
Isomorph-free branch and bound search for finite state controllers
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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