46 search results - page 6 / 10 » Discretization of Continuous Action Spaces in Extensive-Form... |
101
Voted
VALUETOOLS
2006
ACM
15 years 4 months ago
2006
ACM
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
70
Voted
AAAI
2000
14 years 11 months ago
2000
A common challenge for agents in multiagent systems is trying to predict what other agents are going to do in the future. Such knowledge can help an agent determine which of its c...
117
Voted
FORMATS
2010
Springer
14 years 8 months ago
2010
Springer
We present a general approach to combine symbolic state space representations for the discrete and continuous parts in the synthesis of winning strategies for timed reachability ga...
ICDM
2009
IEEE
15 years 5 months ago
2009
IEEE
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
111
Voted
AAMAS
2007
Springer
15 years 4 months ago
2007
Springer
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...