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» Playout Policy Adaptation for Games
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ATAL
2007
Springer
13 years 12 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 13 days 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 13 days 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 8 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 5 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...