Recent Advances in Hierarchical Reinforcement Learning
Discrete Event Dynamic Systems
Building portable options: skill transfer in reinforcement learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Efficient skill learning using abstraction selection
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Robot learning from demonstration by constructing skill trees
International Journal of Robotics Research
Autonomous robot skill acquisition
Autonomous robot skill acquisition
Machine learning for interactive systems and robots: a brief introduction
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems: Bridging the Gap Between Perception, Action and Communication
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This extended abstract summarizes recent work on skill acquisition, which shows that autonomous robot skill acquisition is feasible, and that a robot can thereby improve its own problem-solving capabilities; and on the symbolic representation of plans composed of sequences of skills. It establishes a formal link between skills and symbols, and is aimed at allowing the bottom-up (or skill-first) development of robot control hierarchies.