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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
ATAL
2003
Springer
15 years 11 months ago
Miscomputing ratio: social cost of selfish computing
Auctions are useful mechanism for allocating items (goods, tasks, resources, etc.) in multiagent systems. The bulk of auction theory assumes that the bidders’ valuations for ite...
Kate Larson, Tuomas Sandholm
CDC
2009
IEEE
160views Control Systems» more  CDC 2009»
15 years 10 months ago
Control of impulsive renewal systems: Application to direct design in networked control
— We consider the control of impulsive systems with jumps triggered by a renewal process, that is, the intervals between jumps are independent and identically distributed. The co...
Duarte Antunes, João Pedro Hespanha, Carlos...
133
Voted
GECCO
2009
Springer
15 years 10 months ago
Novelty of behaviour as a basis for the neuro-evolution of operant reward learning
An agent that deviates from a usual or previous course of action can be said to display novel or varying behaviour. Novelty of behaviour can be seen as the result of real or appar...
Andrea Soltoggio, Ben Jones
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 10 months ago
Evolution of Goal-Directed Behavior from Limited Information in a Complex Environment
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
Matthew R. Glickman, Katia P. Sycara