Towards efficient planning for real world partially observable domains
My research goal is to build large-scale intelligent systems (both single- and multi-agent) that reason with uncertainty in complex, real-world environments. I foresee an integration of such systems in many critical facets of human life ranging from intelligent assistants in hospitals to offices, fr...
Saved in:
Main Author: | VARAKANTHAM, Pradeep R. |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2007
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/948 https://ink.library.smu.edu.sg/context/sis_research/article/1947/viewcontent/ThesisDocument.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Risk-Sensitive Planning in Partially Observable
by: MARECKI, Janusz, et al.
Published: (2010) -
Delayed Observation Planning in Partially Observable Domains
by: VARAKANTHAM, Pradeep Reddy, et al.
Published: (2012) -
Taking DCOP to the Real World: Efficient Complete Solutions for Distributed Event Scheduling
by: MAHESWARAN, Rajiv, et al.
Published: (2004) -
Dynamic Programming Approximations for Partially Observable Stochastic Games
by: KUMAR, Akshat, et al.
Published: (2009) -
Towards Efficient Computation of Quality Bounded Solutions in POMDPs: Expected Value Approximation and Dynamic Disjunctive Beliefs
by: VARAKANTHAM, Pradeep Reddy, et al.
Published: (2007)