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ICCBR
2009
Springer
16 years 1 months 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 8 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 1 months 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
ICIDS
2009
Springer
16 years 1 months 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
180
Voted
IROS
2008
IEEE
138views Robotics» more  IROS 2008»
16 years 1 months 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