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Kenji Doya — most-cited papers & profile · Reinforcement Learning
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Kenji Doya
10
papers ·
114
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning
2017 · 78 citations
Variational Recurrent Models for Solving Partially Observable Control Tasks
2019 · 20 citations
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks
2019 · 5 citations
Goal-Directed Planning by Reinforcement Learning and Active Inference
2021 · 3 citations
Online Meta-learning by Parallel Algorithm Competition
2017 · 2 citations
Unifying Value Iteration, Advantage Learning, and Dynamic Policy Programming
2017 · 2 citations
Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning
2019 · 2 citations
Intrinsic Rewards for Exploration without Harm from Observational Noise: A Simulation Study Based on the Free Energy Principle
2024 · 1 citations
Evolution of Rewards for Food and Motor Action by Simulating Birth and Death
2024 · 1 citations
Evolution of Fear and Social Rewards in Prey-Predator Relationship
2025
Top co-authors
Dongqi Han
· 4
Jun Tani
· 4
Eiji Uchibe
· 3
Stefan Elfwing
· 2
Tadashi Kozuno
· 2
Theodore Jerome Tinker
· 1
Yuji Kanagawa
· 1
Yuji Kanagawa
· 1
Topics
Model-Based RL
Exploration
Value-Based
Multi-Agent
Game AI
Meta-RL
Policy Gradient
Offline RL
Safe RL