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AAAI
1996
13 years 10 months ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard
AAAI
2006
13 years 10 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
ICAS
2008
IEEE
200views Robotics» more  ICAS 2008»
14 years 3 months ago
Connectivity of Thetis, a Distributed Hybrid Simulator, with a Mixed Control Architecture
—The purpose of this paper is to present the linkage of Thetis (a real time multi-vehicles hybrid simulator for heterogeneous vehicles) with a control architecture for the manage...
Olivier Parodi, Abdellah El Jalaoui, David Andreu
AR
2005
138views more  AR 2005»
13 years 8 months ago
On actively closing loops in grid-based FastSLAM
Acquiring models of the environment belongs to the fundamental tasks of mobile robots. In the past, several researchers have focused on the problem of simultaneous localization an...
Cyrill Stachniss, Dirk Hähnel, Wolfram Burgar...
LAMAS
2005
Springer
14 years 2 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...