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ICML
2002
IEEE
14 years 8 months ago
Action Refinement in Reinforcement Learning by Probability Smoothing
In many reinforcement learning applications, the set of possible actions can be partitioned by the programmer into subsets of similar actions. This paper presents a technique for ...
Carles Sierra, Dídac Busquets, Ramon L&oacu...
JSAC
2010
138views more  JSAC 2010»
13 years 5 months ago
Dynamic conjectures in random access networks using bio-inspired learning
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
Yi Su, Mihaela van der Schaar
TROB
2010
159views more  TROB 2010»
13 years 2 months ago
Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Ales Ude, Andrej Gams, Tamim Asfour, Jun Morimoto
ICMAS
2000
13 years 8 months ago
Evolutionary On-line Learning of Cooperative Behavior with Situation-Action-Pairs
We present a concept to use off-line learning approaches to achieve on-line learning of cooperative behavior of agents and instantiate this concept for evolutionary learning with ...
Jörg Denzinger, Michael Kordt
SIGUCCS
2003
ACM
14 years 19 days ago
It takes a village to build an image
Managing operating systems and campus-supported software can be a daunting challenge. Many colleges and universities handle these challenges by using disk imaging software to crea...
R. Mark Koan, Kelly Caye, Steven K. Brawn