864 search results - page 53 / 173 » Selective Attention Improves Learning |
103
Voted
ECAI
2008
Springer
15 years 2 months ago
2008
Springer
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...
103
Voted
ICMLA
2009
14 years 10 months ago
2009
This paper describes a novel real-world reinforcement learning application: The Neuro Slot Car Racer. In addition to presenting the system and first results based on Neural Fitted...
KBS
2007
15 years 19 days ago
2007
In this paper, we describe research on using eye-tracking data for on-line assessment of user meta-cognitive behavior during interaction with an environment for exploration-based ...
128
Voted
IAT
2003
IEEE
15 years 6 months ago
2003
IEEE
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
121
Voted
FLAIRS
2003
15 years 2 months ago
2003
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...