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» Learning the required number of agents for complex tasks
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NN
2007
Springer
105views Neural Networks» more  NN 2007»
13 years 7 months ago
Guiding exploration by pre-existing knowledge without modifying reward
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Kary Främling
AGENTS
1997
Springer
13 years 12 months ago
COLLAGEN: When Agents Collaborate with People
We take the position that autonomous agents, when they interact with people, should be governed by the same principles that underlie human collaboration. These principles come fro...
Charles Rich, Candace L. Sidner
NIPS
1997
13 years 9 months ago
Task and Spatial Frequency Effects on Face Specialization
There is strong evidence that face processing is localized in the brain. The double dissociation between prosopagnosia, a face recognition deficit occurring after brain damage, a...
Matthew N. Dailey, Garrison W. Cottrell
ML
2006
ACM
13 years 7 months ago
Relational IBL in classical music
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
Asmir Tobudic, Gerhard Widmer
ICRA
2009
IEEE
169views Robotics» more  ICRA 2009»
14 years 2 months ago
Task-level imitation learning using variance-based movement optimization
— Recent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to ...
Manuel Mühlig, Michael Gienger, Sven Hellbach...