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AAAI
2006
15 years 1 months ago
On the Difficulty of Modular Reinforcement Learning for Real-World Partial Programming
In recent years there has been a great deal of interest in "modular reinforcement learning" (MRL). Typically, problems are decomposed into concurrent subgoals, allowing ...
Sooraj Bhat, Charles Lee Isbell Jr., Michael Matea...
AAAI
2000
15 years 1 months ago
Asynchronous Search with Aggregations
Many problem-solving tasks can be formalized as constraint satisfaction problems (CSPs). In a multi-agent setting, information about constraints and variables may belong to differ...
Marius-Calin Silaghi, Djamila Sam-Haroud, Boi Falt...
AI
2005
Springer
14 years 11 months ago
Constraint-based reasoning and privacy/efficiency tradeoffs in multi-agent problem solving
Because of privacy concerns, agents may not want to reveal information that could be of use in problem solving. As a result, there are potentially important tradeoffs between main...
Richard J. Wallace, Eugene C. Freuder
ATAL
2004
Springer
15 years 5 months ago
Optimal Negotiation of Multiple Issues in Incomplete Information Settings
This paper studies bilateral multi-issue negotiation between self-interested agents. The outcome of such encounters depends on two key factors: the agenda (i.e., the set of issues...
S. Shaheen Fatima, Michael Wooldridge, Nicholas R....
GECCO
2007
Springer
214views Optimization» more  GECCO 2007»
15 years 6 months ago
Portfolio allocation using XCS experts in technical analysis, market conditions and options market
Schulenburg [15] first proposed the idea to model different trader types by supplying different input information sets to a group of homogenous LCS agent. Gershoff [12] investigat...
Sor Ying (Byron) Wong, Sonia Schulenburg