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ECAL
2001
Springer
15 years 2 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
92
Voted
CSE
2009
IEEE
15 years 1 months ago
Equilibria and Efficiency Loss in Games on Networks
Social networks are the substrate upon which we make and evaluate many of our daily decisions: our costs and benefits depend on whether--or how many of, or which of--our friends ar...
Joshua R. Davis, Zachary Goldman, Jacob Hilty, Eli...
ISORC
2008
IEEE
15 years 3 months ago
Adaptive Fuzzy Control for Utilization Management
—An increasing number of real-time systems are embedded in mission critical systems such as target tracking systems, in which workloads may dynamically vary, for example, dependi...
Mehmet H. Suzer, Kyoung-Don Kang
66
Voted
RAS
2007
103views more  RAS 2007»
14 years 9 months ago
A decomposition approach to multi-vehicle cooperative control
We use a decomposition approach to generate cooperative strategies for a class of multi-vehicle control problems. By introducing a set of tasks to be completed by the team of vehi...
Matthew G. Earl, Raffaello D'Andrea
STOC
2006
ACM
122views Algorithms» more  STOC 2006»
15 years 9 months ago
Fast convergence to Wardrop equilibria by adaptive sampling methods
We study rerouting policies in a dynamic round-based variant of a well known game theoretic traffic model due to Wardrop. Previous analyses (mostly in the context of selfish routi...
Simon Fischer, Harald Räcke, Berthold Vö...