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ICML
2004
IEEE
14 years 8 months ago
Adaptive cognitive orthotics: combining reinforcement learning and constraint-based temporal reasoning
Reminder systems support people with impaired prospective memory and/or executive function, by providing them with reminders of their functional daily activities. We integrate tem...
Matthew R. Rudary, Satinder P. Singh, Martha E. Po...
BSN
2009
IEEE
140views Sensor Networks» more  BSN 2009»
14 years 2 months ago
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...
Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafa...
ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
14 years 2 months ago
Approximate optimal control of the compass gait on rough terrain
Abstract— In this paper, we explore the capabilities of actuated models of the compass gait walker on rough terrain. We solve for the optimal high-level feedback policy to negoti...
Katie Byl, Russ Tedrake
IAT
2007
IEEE
14 years 2 months ago
Planning and Choosing: Augmenting HTN-Based Agents with Mental Attitudes
This paper describes a new agent framework that fuses an HTN planner, through its underlying conceptual model, with the mental attitudes of the BDI agent architecture, thus exploi...
Gerhard Wickler, Stephen Potter, Austin Tate, Mich...
SARA
2007
Springer
14 years 2 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto