3274 search results - page 110 / 655 » Using Learning in a Control Agent |
AAAI
2008
13 years 10 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
SIGECOM
2011
ACM
12 years 10 months ago
2011
ACM
ended abstract summarizes the research presented in Dr. Pardoe’s recently-completed Ph.D. thesis [Pardoe 2011]. The thesis considers how adaptive trading agents can take advantag...
AOSE
2004
Springer
14 years 1 months ago
2004
Springer
Societies need patterned behavior to exist. Large-scale agent societies may contain a diversity of agents, each with differing abilities and functionalities. When such an agent sys...
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
Today's wireless sensor networks have limited flexibility because their software is static. Mobile agents alleviate this problem by introducing mobile code and state. Mobile ...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...