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AAAI
2006
13 years 9 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
14 years 2 months ago
Collision detection in legged locomotion using supervised learning
Abstract— We propose a fast approach for detecting collisionfree swing-foot trajectories for legged locomotion over extreme terrains. Instead of simulating the swing trajectories...
Finale Doshi, Emma Brunskill, Alexander C. Shkolni...
CRV
2006
IEEE
148views Robotics» more  CRV 2006»
14 years 1 months ago
Autonomous Learning of Object Appearances using Colour Contour Frames
In this paper we make use of the idea that a robot can autonomously discover objects and learn their appearances by poking and prodding at interesting parts of a scene. In order t...
Per-Erik Forssén, Anders Moe
ICML
2009
IEEE
14 years 8 months ago
The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
Carlos Diuk, Lihong Li, Bethany R. Leffler
IROS
2006
IEEE
146views Robotics» more  IROS 2006»
14 years 1 months ago
Adaptive Causal Models for Fault Diagnosis and Recovery in Multi-Robot Teams
— This paper presents an adaptive causal model method (adaptive CMM) for fault diagnosis and recovery in complex multi-robot teams. We claim that a causal model approach is effec...
Lynne E. Parker, Balajee Kannan