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» Transfer of policies based on trajectory libraries
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IROS
2007
IEEE
159views Robotics» more  IROS 2007»
13 years 11 months ago
Transfer of policies based on trajectory libraries
— Libraries of trajectories are a promising way of creating policies for difficult problems. However, often it is not desirable or even possible to create a new library for ever...
Martin Stolle, Hanns Tappeiner, Joel E. Chestnutt,...
ICRA
2006
IEEE
101views Robotics» more  ICRA 2006»
13 years 11 months ago
Policies based on Trajectory Libraries
— We present a control approach that uses a library of trajectories to establish a global control law or policy. This is an alternative to methods for finding global policies ba...
Martin Stolle, Christopher G. Atkeson
AAAI
2010
13 years 6 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
ICMLA
2003
13 years 6 months ago
Reinforcement Learning Task Clustering
This work represents the first step towards a task library system in the reinforcement learning domain. Task libraries could be useful in speeding up the learning of new tasks th...
James L. Carroll, Todd S. Peterson, Kevin D. Seppi
ICRA
2010
IEEE
143views Robotics» more  ICRA 2010»
13 years 3 months ago
Apprenticeship learning via soft local homomorphisms
Abstract— We consider the problem of apprenticeship learning when the expert’s demonstration covers only a small part of a large state space. Inverse Reinforcement Learning (IR...
Abdeslam Boularias, Brahim Chaib-draa