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» Dynamic abstraction in reinforcement learning via clustering
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CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 4 months ago
Mixed-Membership Stochastic Block-Models for Transactional Networks
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Mahdi Shafiei, Hugh Chipman
GLOBECOM
2009
IEEE
13 years 7 months ago
Cooperative Communications with Relay Selection for QoS Provisioning in Wireless Sensor Networks
Abstract--Cooperative communications have been demonstrated to be effective in combating the multiple fading effects in wireless networks, and improving the network performance in ...
Xuedong Liang, Ilangko Balasingham, Victor C. M. L...
HAPTICS
2007
IEEE
14 years 4 months ago
Haptic Feedback Enhances Force Skill Learning
This paper explores the use of haptic feedback to abstract motor skill that requires recalling a sequence of forces. Participants are guided along a trajectory and are asked to le...
Daniel Morris, Hong Z. Tan, Federico Barbagli, Tim...
EELC
2006
121views Languages» more  EELC 2006»
14 years 1 months ago
Symbol Grounding Through Cumulative Learning
Abstract. We suggest that the primary motivation for an agent to construct a symbol-meaning mapping is to solve a task. The meaning space of an agent should be derived from the tas...
Samarth Swarup, Kiran Lakkaraju, Sylvian R. Ray, L...
SSDBM
2009
IEEE
116views Database» more  SSDBM 2009»
14 years 4 months ago
Constraint-Based Learning of Distance Functions for Object Trajectories
Abstract. With the drastic increase of object trajectory data, the analysis and exploration of trajectories has become a major research focus with many applications. In particular,...
Wei Yu, Michael Gertz