46 search results - page 4 / 10 » Discretization of Continuous Action Spaces in Extensive-Form... |
73
Voted
MICAI
2009
Springer
15 years 4 months ago
2009
Springer
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
89
Voted
AAAI
1996
14 years 11 months ago
1996
Overcoming the disadvantages of equidistant discretization of continuous actions, we introduce an approach that separates time into slices of varying length bordered by certain ev...
97
Voted
WSC
2000
14 years 11 months ago
2000
Many artificial intelligence techniques rely on the notion ate" as an abstraction of the actual state of the nd an "operator" as an abstraction of the actions that ...
81
Voted
SIGECOM
2004
ACM
15 years 3 months ago
2004
ACM
We provide efficient algorithms for finding approximate BayesNash equilibria (BNE) in graphical, specifically tree, games of incomplete information. In such games an agent’s p...
103
click to vote
JAIR
2008
14 years 10 months ago
2008
It is well-known that acting in an individually rational manner, according to the principles of classical game theory, may lead to sub-optimal solutions in a class of problems nam...