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» Using reinforcement learning to adapt an imitation task
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ATAL
2009
Springer
14 years 2 months ago
Adaptive learning in evolving task allocation networks
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
Tomas Klos, Bart Nooteboom
AIIA
2007
Springer
14 years 1 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
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...
ICML
1998
IEEE
13 years 12 months ago
Learning to Drive a Bicycle Using Reinforcement Learning and Shaping
We present and solve a real-world problem of learning to drive a bicycle. We solve the problem by online reinforcement learning using the Sarsa(   )-algorithm. Then we solve the ...
Jette Randløv, Preben Alstrøm
CORR
2010
Springer
156views Education» more  CORR 2010»
13 years 6 months ago
Imitation learning of motor primitives and language bootstrapping in robots
Abstract— Imitation learning in robots, also called programing by demonstration, has made important advances in recent years, allowing humans to teach context dependant motor ski...
Thomas Cederborg, Pierre-Yves Oudeyer