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» Learning for Dynamic Subsumption
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ICML
2004
IEEE
16 years 2 months ago
Dynamic abstraction in reinforcement learning via clustering
Abstraction in Reinforcement Learning via Clustering Shie Mannor shie@mit.edu Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA ...
Shie Mannor, Ishai Menache, Amit Hoze, Uri Klein
ATAL
2009
Springer
15 years 8 months ago
State-coupled replicator dynamics
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
ETS
2000
IEEE
138views Hardware» more  ETS 2000»
15 years 1 months ago
e-Learning Innovation through the Implementation of an Internet Supported Learning Environment
The paper provides an insight into the changing nature of the learning process through the adoption of interactive new media solutions into a traditional University Campus. The us...
David Smith, Glenn Hardaker
ICASSP
2011
IEEE
14 years 5 months ago
Learning vocal tract variables with multi-task kernels
The problem of acoustic-to-articulatory speech inversion continues to be a challenging research problem which significantly impacts automatic speech recognition robustness and ac...
Hachem Kadri, Emmanuel Duflos, Philippe Preux
IJCNN
2006
IEEE
15 years 8 months ago
Learning a Rendezvous Task with Dynamic Joint Action Perception
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
Nancy Fulda, Dan Ventura