A Survey of solution techniques for the partially observed Markov decision process

Markov tracking for agent coordination

AGENTS '98 Proceedings of the second international conference on Autonomous agents

Complexity of finite-horizon Markov decision process problems

Journal of the ACM (JACM)

Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making

Sequence Learning - Paradigms, Algorithms, and Applications

Optimal replacement under partial observations

Mathematics of Operations Research

Region-based incremental pruning for POMDPs

UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence

Efficient maximization in solving POMDPs

AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2

Nonapproximability results for partially observable Markov decision processes

Journal of Artificial Intelligence Research

Anytime point-based approximations for large POMDPs

Journal of Artificial Intelligence Research

A model approximation scheme for planning in partially observable stochastic domains

Journal of Artificial Intelligence Research

Optimal design of sequential real-time communication systems

IEEE Transactions on Information Theory

Partially Observable Markov Decision Processes: A Geometric Technique and Analysis

Operations Research

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

Dynamic traffic splitting to parallel wireless networks with partial information: A Bayesian approach

Performance Evaluation

A method for speeding up value iteration in partially observable Markov decision processes

UAI'99 Proceedings of the Fifteenth 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

Exploiting symmetries for single- and multi-agent Partially Observable Stochastic Domains

Artificial Intelligence

The Skyline algorithm for POMDP value function pruning

Annals of Mathematics and Artificial Intelligence

A simple index rule for efficient traffic splitting over parallel wireless networks with partial information

Performance Evaluation