74 citations · 74 across the 1 of their papers we have counts for
2 papers
cs.AI2014★ 74 cited
Monte Carlo Sampling Methods for Approximating Interactive POMDPs
Prashant Doshi, Piotr J. Gmytrasiewicz
Partially observable Markov decision processes (POMDPs) provide a principled framework for sequential planning in uncertain single agent settings. An extension of POMDPs to multiag…
cs.AI2011
A Framework for Sequential Planning in Multi-Agent Settings
P. Doshi, P. J. Gmytrasiewicz
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state space…