169 search results - page 28 / 34 » Planning with Continuous Actions in Partially Observable Env... |
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
UAI
2001
13 years 9 months ago
2001
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
JAIR
2002
13 years 7 months ago
2002
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
DATE
2008
IEEE
14 years 2 months ago
2008
IEEE
SOFIA (Safe Automatic Flight Back and Landing of Aircraft) project is a response to the challenge of developing concepts and techniques enabling the safe and automatic return to g...
AMAI
1999
Springer
13 years 7 months ago
1999
Springer
In this paper we present an extension of logic programming (LP) that is suitable not only for the "rational" component of a single agent but also for the "reactive&...