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Journal/Conference
Year
Suggested
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Reward prediction error neurons implement an efficient code for reward
Open
Journal
Nature Neuroscience
2024
Yes!
Heiko Schutt, Dongjae Kim, Wei Ji Ma
비전 트랜스포머를 활용한 심층강화학습
Open
Conference Proceeding
Domestic(KR)
KCC
2023
Jung Myung Wi, Seung-Hee Lee, Dongjae Kim
다중 에이전트 환경에서 그래프 신경망을 활용한 액터-크리틱 강화학습
Open
Conference Proceeding
Domestic(KR)
KCC
2023
Sang Jun Bae, Jun Hyeon Bae, Seok Hee Jin, Dongjae Kim
계층적 강화학습에서의 표준적 계층 추가 방안: Timely hierarchical elaborated Feudal networks
Open
Conference Proceeding
Domestic(KR)
KCC
2023
Jongwon Kim, Dongjae Kim
Impairment of arbitration between model-based and model-free reinforcement learning in obsessive–compulsive disorder
Open
Journal
Frontiers in Psychiatry
2023
Undoing in human planning
Open
Conference Proceeding
Proceedings of the Annual Meeting of the Cognitive Science Society
2022
Reward prediction error neurons implement an efficient code for reward
Open
Journal
Conference Proceeding
bioRxiv
Proceedings of the Annual Meeting of the Cognitive Science Society
2022
Meta-BCI: Perspectives on a role of self-supervised learning in meta brain computer interface
Open
Conference Proceeding
International Conference on Brain-Computer Interface (BCI)
2022
Goal-Driven Atari Environment
Open
Conference Proceeding
International Conference on Brain-Computer Interface (BCI)
2022
Development of flexible reinforcement learning algorithms using model-based fMRI analyses
Open
Thesis
2021
Decoding learning strategies from EEG signals provides generalizable features for decoding decision
Open
Conference Proceeding
International Conference on Brain-Computer Interface (BCI)
2021
Prefrontal solution to the bias-variance tradeoff during reinforcement learning
Open
Journal
Cell Reports
2021
Yes!
Decoding prefrontal cognitive states from electroencephalography in virtual-reality environment
Open
Conference Proceeding
International Conference on Brain-Computer Interface (BCI)
2020
On the reliability and generalizability of brain-inspired reinforcement learning algorithms
Open
Journal
arXiv
2020
Yes!
Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning.
Open
Journal
Nature communications
2019
Yes!
Decoding both intention and learning strategies from EEG signals
Open
Conference Proceeding
International Conference on Brain-Computer Interface (BCI)
2019
Evidence of behavioral and neural interaction between task complexity and state-space uncertainty during reinforcement learning
Open
Conference Proceeding
Computational and Systems Neuroscience (COSYNE)
2019
Deciphering model-based and model-free reinforcement learning strategies and choices from EEG
Open
Conference Proceeding
Multidisciplinary Conference on Reinforcement Learning and Decision Making
2019
Behavioral and neural evidence for intrinsic motivation effect on reinforcement learning
Open
Conference Proceeding
Multidisciplinary Conference on Reinforcement Learning and Decision Making
2019
EEG-based classification of learning strategies: Model-based and model-free reinforcement learning
Open
Conference Proceeding
International Conference on Brain-Computer Interface (BCI)
2018
Context-dependent meta-control for reinforcement learning using a Dirichlet process Gaussian mixture model
Open
Conference Proceeding
International Conference on Brain-Computer Interface (BCI)
2018
Dynamic encoding of reward and latent task structures in human reinforcement learning
Open
Conference Proceeding
Computational and Systems Neuroscience (COSYNE)
2018
Model-based BCI: A novel brain-computer interface framework for reading out learning strategies underlying choices
Open
Conference Proceeding
IEEE International Conference on Systems Man and Cybernetics (SMC)
2018
Hierarchical control architecture regulating competition between model-based and context-dependent model-free reinforcement learning strategies
Open
Conference Proceeding
IEEE International Conference on Systems Man and Cybernetics (SMC)
2018
Open
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