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UAI
2008
13 years 10 months ago
Knowledge Combination in Graphical Multiagent Models
A graphical multiagent model (GMM) represents a joint distribution over the behavior of a set of agents. One source of knowledge aboutagents'behaviormaycomefromgametheoretic ...
Quang Duong, Michael P. Wellman, Satinder P. Singh
AAMAS
2005
Springer
13 years 8 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
ML
2006
ACM
113views Machine Learning» more  ML 2006»
13 years 8 months ago
Learning to bid in bridge
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
Asaf Amit, Shaul Markovitch
AR
1998
106views more  AR 1998»
13 years 8 months ago
A cognitive robot architecture based on tactile and visual information
In this paper, we propose an architecture for a cognitive robot based on tactile and visual information. Visual information contains various features such as location and area of ...
Kazunori Terada, Takayuki Nakamura, Hideaki Takeda...
ATAL
2005
Springer
14 years 2 months ago
Multi-agent reward analysis for learning in noisy domains
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...
Adrian K. Agogino, Kagan Tumer