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ECAI
2010
Springer
13 years 8 months ago
Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
Reinaldo A. C. Bianchi, Ramon López de M&aa...
JAIR
2006
122views more  JAIR 2006»
13 years 7 months ago
Solving Factored MDPs with Hybrid State and Action Variables
Efficient representations and solutions for large decision problems with continuous and discrete variables are among the most important challenges faced by the designers of automa...
Branislav Kveton, Milos Hauskrecht, Carlos Guestri...
AUTOMATICA
2002
96views more  AUTOMATICA 2002»
13 years 7 months ago
A hybrid control approach to action coordination for mobile robots
In this paper, the problem concerning how to coordinate the contributions from concurrent controllers, when controlling mobile robots, is investigated. It is shown how a behavior ...
Magnus Egerstedt, Xiaoming Hu
ICASSP
2011
IEEE
12 years 11 months ago
Wavelet footprints for detection and sorting of extracellular neural action potentials
Spike detection and sorting is a fundamental step in the analysis of extracellular neural recording. Here, we propose a combined spike detection-feature extraction algorithm that ...
Ki Yong Kwon, Karim G. Oweiss
BMVC
2010
13 years 5 months ago
Recognizing human actions in still images: a study of bag-of-features and part-based representations
Recognition of human actions is usually addressed in the scope of video interpretation. Meanwhile, common human actions such as "reading a book", "playing a guitar&...
Vincent Delaitre, Ivan Laptev, Josef Sivic