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IJCAI
2003
14 years 10 months ago
A Planning Algorithm for Predictive State Representations
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
Masoumeh T. Izadi, Doina Precup
ATAL
2004
Springer
15 years 2 months ago
Interactive POMDPs: Properties and Preliminary Results
This paper presents properties and results of a new framework for sequential decision-making in multiagent settings called interactive partially observable Markov decision process...
Piotr J. Gmytrasiewicz, Prashant Doshi
ATAL
2006
Springer
15 years 1 months ago
Decentralized planning under uncertainty for teams of communicating agents
Decentralized partially observable Markov decision processes (DEC-POMDPs) form a general framework for planning for groups of cooperating agents that inhabit a stochastic and part...
Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos A....
ECP
1997
Springer
105views Robotics» more  ECP 1997»
15 years 1 months ago
Planning, Learning, and Executing in Autonomous Systems
Systems that act autonomously in the environment have to be able to integrate three basic behaviors: planning, execution, and learning. Planning involves describing a set of action...
Ramón García-Martínez, Daniel...
CAINE
2003
14 years 10 months ago
POMDP Planning for High Level UAV Decisions: Search vs. Strike
The Partially Observable Markov Decision Process (POMDP) model is explored for high level decision making for Unmanned Air Vehicles (UAVs). The type of UAV modeled is a flying mun...
Doug Schesvold, Jingpeng Tang, Benzir Md Ahmed, Ka...