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» Reinforcement Learning with Hierarchies of Machines
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ECML
2005
Springer
15 years 3 months ago
Natural Actor-Critic
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
Jan Peters, Sethu Vijayakumar, Stefan Schaal
ROMAN
2007
IEEE
150views Robotics» more  ROMAN 2007»
15 years 3 months ago
Asymmetric Interpretations of Positive and Negative Human Feedback for a Social Learning Agent
— The ability for people to interact with robots and teach them new skills will be crucial to the successful application of robots in everyday human environments. In order to des...
Andrea Lockerd Thomaz, Cynthia Breazeal
ICALT
2008
IEEE
15 years 4 months ago
HABITAT: A Web Supported Treatment for Acquired Brain Injured
The rehabilitation of a patient with Acquired Brain Injury begins during the acute treatment phase. It is important to focus on maximizing the patient's capabilities at home ...
Elena Navarro, Víctor López-Jaquero,...
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ICALT
2006
IEEE
15 years 3 months ago
Citizenship Education Using Human- and Agent-Based Participatory Gaming Simulation
In this paper, we describe new methodologies for reinforcing the social consensus building of the multicultural coexistence assistance using participatory simulation in civil soci...
Reiko Hishiyama, Toru Ishida
ICML
2010
IEEE
14 years 10 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...