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» Learning Simulation Control in General Game-Playing Agents
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ESSMAC
2003
Springer
13 years 12 months ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith
EUSFLAT
2001
144views Fuzzy Logic» more  EUSFLAT 2001»
13 years 8 months ago
Adaptive torque control using a connectionist reinforcement learning agent
The correction of angular misalignment between mating components is a fundamental requirement for their successful assembly. In this paper we present how a learning agent based on...
Lorenzo Brignone, Martin Howarth, S. Sivayoganatha...
GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
13 years 10 months ago
Controlling Effective Introns for Multi-Agent Learning by Genetic Programming
This paper presents the emergence of the cooperative behavior for multiple agents by means of Genetic Programming (GP). For the purpose of evolving the effective cooperative behav...
Hitoshi Iba, Makoto Terao
JMLR
2010
148views more  JMLR 2010»
13 years 1 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
MONET
2002
185views more  MONET 2002»
13 years 6 months ago
An Adaptive Generalized Transmission Protocol for Ad Hoc Networks
Wireless networking and group communication in combination allows groups of dispersed mobile users to collaborate. This paper presents AGENT, a medium access control (MAC) protocol...
Andrew D. Myers, Gergely V. Záruba, Violet ...