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» Feudal Reinforcement Learning
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ICML
1996
IEEE
14 years 7 months ago
On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning
Patrick Goetz, Shailesh Kumar, Risto Miikkulainen
CORR
1998
Springer
164views Education» more  CORR 1998»
13 years 6 months ago
Training Reinforcement Neurocontrollers Using the Polytope Algorithm
A new training algorithm is presented for delayed reinforcement learning problems that does not assume the existence of a critic model and employs the polytope optimization algorit...
Aristidis Likas, Isaac E. Lagaris
NECO
2002
105views more  NECO 2002»
13 years 6 months ago
Multiple Model-Based Reinforcement Learning
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, ...
IAT
2003
IEEE
14 years 7 days ago
Asymmetric Multiagent Reinforcement Learning
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
Ville Könönen