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SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
16 years 1 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
ATAL
2004
Springer
15 years 12 months ago
Experiments on Deliberation Equilibria in Auctions
Auctions are useful mechanisms for allocating items (goods, tasks, resources, etc.) in multiagent systems. The bulk of auction theory assumes that the bidders know their own valua...
Kate Larson, Tuomas Sandholm
ATAL
2003
Springer
15 years 11 months ago
Coordination in multiagent reinforcement learning: a Bayesian approach
Much emphasis in multiagent reinforcement learning (MARL) research is placed on ensuring that MARL algorithms (eventually) converge to desirable equilibria. As in standard reinfor...
Georgios Chalkiadakis, Craig Boutilier
AAAI
2010
15 years 8 months ago
Structured Parameter Elicitation
The behavior of a complex system often depends on parameters whose values are unknown in advance. To operate effectively, an autonomous agent must actively gather information on t...
Li Ling Ko, David Hsu, Wee Sun Lee, Sylvie C. W. O...
MANSCI
2007
139views more  MANSCI 2007»
15 years 6 months ago
A Market-Based Optimization Algorithm for Distributed Systems
In this paper, a market-based decomposition method for decomposable linear systems is developed. The solution process iterates between a master problem that solves the market-matc...
Zhiling Guo, Gary J. Koehler, Andrew B. Whinston