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» Playout Policy Adaptation for Games
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ATAL
2007
Springer
14 years 1 months ago
Multiagent learning in adaptive dynamic systems
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
Andriy Burkov, Brahim Chaib-draa
INFOCOM
2009
IEEE
14 years 2 months ago
Decentralized Stochastic Control of Delay Tolerant Networks
—We study in this paper optimal stochastic control issues in delay tolerant networks. We first derive the structure of optimal two-hop forwarding policies. In order to be implem...
Eitan Altman, Giovanni Neglia, Francesco De Pelleg...
INFOCOM
2009
IEEE
14 years 2 months ago
Analysis of Adaptive Incentive Protocols for P2P Networks
— Incentive protocols play a crucial role to encourage cooperation among nodes in networking applications. The aim of this paper is to provide a general analytical framework to a...
Ben Q. Zhao, John C. S. Lui, Dah-Ming Chiu
AIIDE
2008
13 years 9 months ago
Intelligent Trading Agents for Massively Multi-player Game Economies
As massively multi-player gaming environments become more detailed, developing agents to populate these virtual worlds as capable non-player characters poses an increasingly compl...
John Reeder, Gita Sukthankar, Michael Georgiopoulo...
AAMAS
2002
Springer
13 years 7 months ago
Adapting Populations of Agents
We control a population of interacting software agents. The agents have a strategy, and receive a payoff for executing that strategy. Unsuccessful agents become extinct. We investi...
Philippe De Wilde, Maria Chli, Luís Correia...