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Interactive POMDP Lite: Towards Practical Planning to Predict and
  Exploit Intentions for Interacting with Self-Interested Agents

Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents

18 April 2013
T. Hoang
K. H. Low
ArXivPDFHTML

Papers citing "Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents"

3 / 3 papers shown
Title
Monte Carlo Sampling Methods for Approximating Interactive POMDPs
Monte Carlo Sampling Methods for Approximating Interactive POMDPs
Prashant Doshi
P. Gmytrasiewicz
32
106
0
15 Jan 2014
A General Framework for Interacting Bayes-Optimally with Self-Interested
  Agents using Arbitrary Parametric Model and Model Prior
A General Framework for Interacting Bayes-Optimally with Self-Interested Agents using Arbitrary Parametric Model and Model Prior
T. Hoang
K. H. Low
AI4CE
64
13
0
07 Apr 2013
A Framework for Sequential Planning in Multi-Agent Settings
A Framework for Sequential Planning in Multi-Agent Settings
P. Gmytrasiewicz
Prashant Doshi
81
480
0
09 Sep 2011
1