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ATAL
2009
Springer
15 years 7 months ago
Multiagent reinforcement learning: algorithm converging to Nash equilibrium in general-sum discounted stochastic games
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
Natalia Akchurina
91
Voted
IAT
2007
IEEE
15 years 7 months ago
A Distributed Algorithm for Finding Nucleolus-Stable Payoff Divisions
The agents in multiagent systems can coordinate their actions and handle tasks jointly by forming coalitions. One of the important steps in this process is the fair division of pa...
Hrishikesh J. Goradia, José M. Vidal
ATAL
2005
Springer
15 years 6 months ago
Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing
This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
Katja Verbeeck, Ann Nowé, Karl Tuyls
87
Voted
ATAL
2004
Springer
15 years 6 months ago
Fitting and Compilation of Multiagent Models through Piecewise Linear Functions
Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and prefe...
David V. Pynadath, Stacy Marsella
90
Voted
ECAI
2006
Springer
15 years 4 months ago
Prevention of Harmful Behaviors Within Cognitive and Autonomous Agents
Being able to ensure that a multiagent system will not generate undesirable behaviors is essential within the context of critical applications (embedded systems or real-time system...
Caroline Chopinaud, Amal El Fallah-Seghrouchni, Pa...