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» Modeling task allocation using a decision theoretic model
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ROBOCUP
2007
Springer
99views Robotics» more  ROBOCUP 2007»
15 years 9 months ago
Instance-Based Action Models for Fast Action Planning
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
Mazda Ahmadi, Peter Stone
164
Voted
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 6 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
160
Voted
ML
2008
ACM
152views Machine Learning» more  ML 2008»
15 years 3 months ago
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
András Antos, Csaba Szepesvári, R&ea...
SWARM
2008
SPRINGER
222views Optimization» more  SWARM 2008»
15 years 3 months ago
Biologically inspired redistribution of a swarm of robots among multiple sites
We present a biologically inspired approach to the dynamic assignment and reassignment of a homogeneous swarm of robots to multiple locations, which is relevant to applications lik...
M. Ani Hsieh, Ádám M. Halász,...
124
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Improved F0 modeling and generation in voice conversion
F0 is an acoustic feature that varies largely from one speaker to another. F0 is characterized by a discontinuity in the transition between voiced and unvoiced sounds that present...
Aki Kunikoshi, Yao Qian, Frank K. Soong, Nobuaki M...