453 search results - page 38 / 91 » Learning from actions not taken: a multiagent learning algor... |
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
Our goal is automatic recognition of basic human actions, such as stand, sit and wave hands, to aid in natural communication between a human and a computer. Human actions are infer...
SODA
2010
ACM
15 years 7 months ago
2010
ACM
The online learning problem requires a player to iteratively choose an action in an unknown and changing environment. In the standard setting of this problem, the player has to ch...
IJCAI
2001
14 years 11 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
AAMAS
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. So far, the main focus of research on adaptability in multiagent systems (MASs) has been on the agents’ behavior, for example on developing new learning techniques and ...
DAGSTUHL
2007
14 years 11 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...