Tony Cassandra's Publications

It's a thousand pages, give or take a few.

Publication List

Development and Evaluation of a Bayesian Low-Vision Navigation Aid

Institute of Electrical and Electronics Engineers Transactions on Systems, Man, and Cybernetics

Using POMDP-Based State Estimation to Enhance Agent System Survivability

Proceedings of the Second IEEE Symposium on Multi-agent Security and Scalability (MAS&S)

A Low-Vision Navigation Aid Using Ideal Observer Analysis

Journal of Vision, 4(8), 895a

Adaptive Defense Coordinator for Multi-agent Systems

Proceedings of the First IEEE Symposium on Multi-agent Security and Scalability (MAS&S)

Scalable Semantic Brokering over Dynamic Heterogeneous Data Sources in InfoSleuth

IEEE Transactions on Knowledge and Data Engineering

Capability-based Agent Matchmaking

Fourth International Conference on Autonomous Agents (Agents 2000)

Providing Customized Process and Situation Awareness in the Collaboration Management Infrastructure

Proceedings of the Fourth IECIS International Conference on Cooperative Information (COOPIS)

Solving POMDPs by Searching the Space of Finite Policies

Proceedings of the Fifteenth International Conference on Uncertainty in Artificial Intelligence

Planning and Acting in Partially Observable Stochastic Domains

Artificial Intelligence

Exact and Approximate Algorithms for Partially Observable Markov Decision Processes

Ph.D. Thesis, Brown Univeristy

A Survey of POMDP Applications

Technical Report MCC-INSL-111-98. Microelectronics and Computer Technology Corporation (MCC). Presented at the AAAI Fall Symposium, 1998

Incremental Pruning: A Simple, Fast, Exact Algorithm for Partially Observable Markov Decision Processes

Uncertainty in Artificial Intelligence

Incremental Pruning - Technical Notes


Taggers for Parsers

Artificial Intelligence

Acting Under Uncertainty: Discrete Bayesian Models for Mobile Robot Navigation

IEEE/Robotics Society of Japan Conference on Intelligent Robots and Systems (IROS)

Learning Policies for Partially Observable Environments: Scaling Up

Proceedings of the Twelfth International Conference on Machine Learning

Efficient Dynamic-programming Updates in Partially Observable Markov Decision Processes

Technical Report CS-95-19. Brown University Department of Computer Science

Acting Optimally in Partially Observable Stochastic Domains

Proceedings of the Twelfth National Conference on Artificial Intelligence