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ICCBR
2009
Springer
16 years 25 days ago
S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
Brandon Rohrer
UAI
2008
15 years 7 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau
IROS
2009
IEEE
128views Robotics» more  IROS 2009»
16 years 28 days ago
Motion planning for active cannulas
— An active cannula is a medical device composed of thin, pre-curved, telescoping tubes that may enable many new surgical procedures. Planning optimal motions for these devices i...
Lisa A. Lyons, Robert J. Webster, Ron Alterovitz
158
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ICIDS
2009
Springer
16 years 25 days ago
Controlling Narrative Generation with Planning Trajectories: The Role of Constraints
Abstract. AI planning has featured in a number of Interactive Storytelling prototypes: since narratives can be naturally modelled as a sequence of actions it has been possible to e...
Julie Porteous, Marc Cavazza
IROS
2008
IEEE
138views Robotics» more  IROS 2008»
16 years 20 days ago
Blended local planning for generating safe and feasible paths
Abstract— Many planning approaches adhere to the twotiered architecture consisting of a long-range, low fidelity global planner and a short-range high fidelity local planner. W...
Ling Xu, Anthony Stentz