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ICML
2004
IEEE
16 years 5 months ago
Learning to fly by combining reinforcement learning with behavioural cloning
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
Eduardo F. Morales, Claude Sammut
ESANN
2001
15 years 5 months ago
Motor control and movement optimization learned by combining auto-imitative and genetic algorithms
In sensorimotor behaviour often a great movement execution variability is combined with a relatively low error in reaching the intended goal. This phenomenon can especially be obse...
Karl-Theodor Kalveram, Ulrich Nakte
IROS
2009
IEEE
155views Robotics» more  IROS 2009»
15 years 11 months ago
Active learning using mean shift optimization for robot grasping
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
Oliver Kroemer, Renaud Detry, Justus H. Piater, Ja...
ACL
1998
15 years 5 months ago
Learning Optimal Dialogue Strategies: A Case Study of a Spoken Dialogue Agent for Email
This paper describes a novel method by which a dialogue agent can learn to choose an optimal dialogue strategy. While it is widely agreed that dialogue strategies should be formul...
Marilyn A. Walker, Jeanne Frommer, Shrikanth Naray...
ICRA
2009
IEEE
169views Robotics» more  ICRA 2009»
15 years 11 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...