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» Reinforcement Learning for Average Reward Zero-Sum Games
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NN
2006
Springer
140views Neural Networks» more  NN 2006»
13 years 7 months ago
Neural mechanism for stochastic behaviour during a competitive game
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...
Alireza Soltani, Daeyeol Lee, Xiao-Jing Wang
AAAI
2006
13 years 9 months ago
Modeling Human Decision Making in Cliff-Edge Environments
In this paper we propose a model for human learning and decision making in environments of repeated Cliff-Edge (CE) interactions. In CE environments, which include common daily in...
Ron Katz, Sarit Kraus
ICRA
2010
IEEE
162views Robotics» more  ICRA 2010»
13 years 6 months ago
Adaptive multi-robot coordination: A game-theoretic perspective
Multi-robot systems researchers have been investigating adaptive coordination methods for improving spatial coordination in teams. Such methods adapt the coordination method to th...
Gal A. Kaminka, Dan Erusalimchik, Sarit Kraus
WELCOM
2001
Springer
132views ECommerce» more  WELCOM 2001»
14 years 11 hour ago
Incentives for Sharing in Peer-to-Peer Networks
The recent and unprecedented surge of public interest in peer-to-peer file sharing has led to a variety of interesting research questions. In this paper, we will address the ince...
Philippe Golle, Kevin Leyton-Brown, Ilya Mironov, ...
NIPS
2004
13 years 9 months ago
New Criteria and a New Algorithm for Learning in Multi-Agent Systems
We propose a new set of criteria for learning algorithms in multi-agent systems, one that is more stringent and (we argue) better justified than previous proposed criteria. Our cr...
Rob Powers, Yoav Shoham