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NIPS
2007
13 years 9 months ago
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng
IROS
2008
IEEE
121views Robotics» more  IROS 2008»
14 years 1 months ago
Learning robot motion control with demonstration and advice-operators
Abstract— As robots become more commonplace within society, the need for tools to enable non-robotics-experts to develop control algorithms, or policies, will increase. Learning ...
Brenna Argall, Brett Browning, Manuela M. Veloso
ICML
2003
IEEE
14 years 8 months ago
Principled Methods for Advising Reinforcement Learning Agents
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
Eric Wiewiora, Garrison W. Cottrell, Charles Elkan
ICCBR
2001
Springer
13 years 12 months ago
Helping a CBR Program Know What It Knows
Case-based reasoning systems need to know the limitations of their expertise. Having found the known source cases most relevant to a target problem, they must assess whether those ...
Bruce M. McLaren, Kevin D. Ashley
AOSD
2008
ACM
13 years 9 months ago
Tool-supported refactoring of aspect-oriented programs
Aspect-oriented programming languages provide new composition mechanisms for improving the modularity of crosscutting concerns. Implementations of such language support use advanc...
Jan Wloka, Robert Hirschfeld, Joachim Hänsel