168 search results - page 33 / 34 » Reinforcement Learning Algorithm for Partially Observable Ma... |
AAAI
2007
13 years 10 months ago
2007
My research focus is on using continuous state partially observable Markov decision processes (POMDPs) to perform object manipulation tasks using a robotic arm. During object mani...
AAAI
2006
13 years 10 months ago
2006
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
— Target tracking has two variants that are often studied independently with different approaches: target searching requires a robot to find a target initially not visible, and ...
CDC
2008
IEEE
14 years 3 months ago
2008
IEEE
— In this paper we study the problem of dynamic optimization of ping schedule in an active sonar buoy network deployed to provide persistent surveillance of a littoral area throu...