Kenji Doya - Researcher Profile | RDL Research Database

Publications

2 shown

Sigmoid-weighted linear units for neural network function approximation in reinforcement learning

Stefan Elfwing , Eiji Uchibe , Kenji Doya

In recent years, neural networks have enjoyed a renaissance as function approximators in reinforcement learning. Two decades after Tesauro's TD-Gammon achieved near top-level hu...

2018 Neural Networks 1643 citations

Multiple Model-Based Reinforcement Learning

Kenji Doya , Kazuyuki Samejima , Ken-ichi Katagiri +1 more

We propose a modular reinforcement learning architecture for nonlinear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic ...

2002 Neural Computation 474 citations