453 search results - page 29 / 91 » Learning from actions not taken: a multiagent learning algor... |
ICRA
2010
IEEE
14 years 8 months ago
2010
IEEE
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
AAAI
2007
15 years 19 hour ago
2007
We describe how a physical robot can learn about objects from its own autonomous experience in the continuous world. The robot identifies statistical regularities that allow it t...
AAAI
1998
14 years 11 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
67
Voted
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
This paper addresses the problem of automatic temporal
annotation of realistic human actions in video using mini-
mal manual supervision. To this end we consider two asso-
ciate...
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
Tags or observable features shared by a group of similar agents are effectively used in real and artificial societies to signal intentions and can be used to infer unobservable ...