The role of learning in autonomous robots
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
Temporal difference learning and TD-Gammon
Communications of the ACM
Machine Learning
A Robust Layered Control System For a Mobile Robot
A Robust Layered Control System For a Mobile Robot
Biologically inspired learning system
Biologically inspired learning system
A universal algorithm for sequential data compression
IEEE Transactions on Information Theory
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The objective of this work is to develop a robot control architecture that detects and adapts to changing conditions without relying on a-priori information or human-in-the-loop calibration and setup. The focus of this work is the integration of memory based learning algorithms with coordinated observer and exploration modules through the use of a common graph based situational memory