On the computational principles underlying human exploration
Lior Fox, Ohad Dan, Yonatan Loewenstein
PsyArXiv preprint 2023
Reinforcement Learning with Large Action Spaces for Neural Machine Translation
Asaf Yehudai, Leshem Choshen, Lior Fox, Omri Abend
International Conference on Computational Linguistics (COLING) 2022
Exploration: from machines to humans
Lior Fox*, Ohad Dan*, Lotem Elber-Dorozko*, Yonatan Loewenstein
Current Opinion in Behavioral Sciences 2021
On the Weaknesses of Reinforcement Learning for Neural Machine Translation
Leshem Choshen, Lior Fox, Zohar Aizenbud, Omri Abend
International Conference on Learning Representations (ICLR) 2020
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
Lior Fox*, Leshem Choshen*, Yonatan Loewenstein
International Conference on Learning Representations (ICLR) 2018
Long-term consequences of actions affect human exploration in structured environments
Lior Fox, Ohad Dan, Gal Yarden, Yonatan Loewenstein
Computational and Systems Neuroscience (Cosyne) 2022
Maximum Entropy Approach for Optimal Exploration
Lior Fox, Yonatan Loewenstein
Reinforcement Learning and Decision Making (RLDM) 2019
In search of optimal exploration
Lior Fox, Yonatan Loewenstein
Computational and Systems Neuroscience (Cosyne) 2019
Propagating Directed Exploration in Model-Free Reinforcement Learning
Lior Fox*, Leshem Choshen*, Yonatan Loewenstein
Reinforcement Learning and Decision Making (RLDM) 2017
The Dynamics of Computation in Neuronal Networks
Yonatan Loewenstein, Lior Fox, Itamar Landau, and Gianluigi Mongillo
Expected publication late 2023, MIT Press (accepted)
We are at the final steps of writing a computational neuroscience book. The book is intended to serve teachers and students of graduate-level courses in modelling networks dynamics.
My PhD thesis, Exploration in Complex Environments: Computational Modeling and Human Behavior, including an otherwise unpublished chapter on Maximum Entropy exploration.
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