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» Using Learning in a Control Agent
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ICANN
2003
Springer
15 years 12 months ago
Unsupervised Learning of a Kinematic Arm Model
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Heiko Hoffmann, Ralf Möller
CDC
2009
IEEE
107views Control Systems» more  CDC 2009»
15 years 11 months ago
Learning approaches to the Witsenhausen counterexample from a view of potential games
— Since Witsenhausen put forward his remarkable counterexample in 1968, there have been many attempts to develop efficient methods for solving this non-convex functional optimiz...
Na Li, Jason R. Marden, Jeff S. Shamma
WDAG
2007
Springer
125views Algorithms» more  WDAG 2007»
16 years 25 days ago
Approximating Wardrop Equilibria with Finitely Many Agents
We study adaptive routing algorithms in a round-based model. Suppose we are given a network equipped with load-dependent latency functions on the edges and a set of commodities eac...
Simon Fischer, Lars Olbrich, Berthold Vöcking
AAAI
1994
15 years 8 months ago
The Ups and Downs of Lexical Acquisition
We have implemented an incremental lexical acquisition mechanism that learns the meanings of previously unknown words from the context in which they appear, as a part of the proce...
Peter M. Hastings, Steven L. Lytinen
ESAW
2009
Springer
16 years 1 months ago
A Space-Based Generic Pattern for Self-Initiative Load Balancing Agents
Abstract. Load-Balancing is a significant problem in heterogeneous distributed systems. There exist many load balancing algorithms, however, most approaches are very problem speci...
eva Kühn, Vesna Sesum-Cavic