312 search results - page 31 / 63 » Learning Partially Observable Deterministic Action Models |
TSMC
2008
13 years 7 months ago
2008
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
AVSS
2009
IEEE
13 years 11 months ago
2009
IEEE
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
IJCAI
2003
13 years 9 months ago
2003
Filtering denotes any method whereby an agent updates its belief state—its knowledge of the state of the world—from a sequence of actions and observations. In logical filterin...
IJCAI
2007
13 years 9 months ago
2007
There is a growing interest in intelligent assistants for a variety of applications from organizing tasks for knowledge workers to helping people with dementia. In this paper, we ...