Doya, Kenji

Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

Elfwing, S., Uchibe, E., & Doya, K. (2018) · Neural Networks

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 2,119

A unifying computational framework for motor control and social interaction

Wolpert, D. M., Doya, K., & Kawato, M. (2003) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences

Action Observation and SynchronizationEmbodied and Extended Cognition

Cited by 1,228

Complementary roles of basal ganglia and cerebellum in learning and motor control

Doya, K. (2000) · Current Opinion in Neurobiology

Motor Control and AdaptationMemory and Neural Mechanisms

Cited by 964

Representation of Action-Specific Reward Values in the Striatum

Samejima, K., Ueda, Y., Doya, K., & Kimura, M. (2005) · Science

Neural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on Behavior

Cited by 939

Parallel neural networks for learning sequential procedures

Hikosaka, O., Nakahara, H., Rand, M. K., Sakai, K., Lu, X., Nakamura, K., Miyachi, S., & Doya, K. (1999) · Trends in Neurosciences

Motor Control and AdaptationMemory and Neural Mechanisms

Cited by 799

Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops

Tanaka, S. C., Doya, K., Okada, G., Ueda, K., Okamoto, Y., & Yamawaki, S. (2004) · Nature Neuroscience

Neural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on Behavior

Cited by 779

Metalearning and neuromodulation

Doya, K. (2002) · Neural Networks

Neurotransmitter Receptor Influence on BehaviorMemory and Neural Mechanisms

Cited by 704

Modulators of decision making

Doya, K. (2008) · Nature Neuroscience

Neural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on Behavior

Cited by 642

Multiple model-based reinforcement learning

Doya, K., Samejima, K., Katagiri, K.-I., & Kawato, M. (2002) · Neural Computation

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 476

A neural correlate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task

Haruno, M., Kuroda, T., Doya, K., Toyama, K., Kimura, M., Samejima, K., Imamizu, H., & Kawato, M. (2004) · The Journal of Neuroscience

Neural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on Behavior

Cited by 300

Meta-learning in Reinforcement Learning

Schweighofer, N., & Doya, K. (2003) · Neural Networks

Reinforcement Learning in RoboticsNeurotransmitter Receptor Influence on Behavior

Cited by 261

Robust Reinforcement Learning

Morimoto, J., & Doya, K. (2005) · Neural Computation

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 232

Reinforcement learning: Computational theory and biological mechanisms

Doya, K. (2007) · HFSP journal

Reinforcement Learning in RoboticsNeural and Behavioral Psychology Studies

Cited by 150

Identification of depression subtypes and relevant brain regions using a data-driven approach

Tokuda, T., Yoshimoto, J., Shimizu, Y., Okada, G., Takamura, M., Okamoto, Y., Yamawaki, S., & Doya, K. (2018) · Scientific Reports

Functional Brain Connectivity StudiesTreatment of Major Depression

Cited by 136

Activation of dorsal raphe serotonin neurons is necessary for waiting for delayed rewards

Miyazaki, K. W., Miyazaki, K., & Doya, K. (2012) · Journal of Neuroscience

Neurotransmitter Receptor Influence on BehaviorNeural and Behavioral Psychology Studies

Cited by 106

Evidence for model-based action planning in a sequential finger movement task

Fermin, A., Yoshida, T., Ito, M., Yoshimoto, J., & Doya, K. (2010) · Journal of Motor Behavior

Motor Control and AdaptationNeural and Behavioral Psychology Studies

Cited by 36

PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos

Parmas, P., Rasmussen, C. E., Peters, J., & Doya, K. (2019) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 34

PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos

Parmas, P., Rasmussen, C. E., Peters, J., & Doya, K. (2018) · Apollo - University of Cambridge Repository

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 32