[Seminar] "Successor Features Representations: Human-inspired Transfer Reinforcement Learning and its Application to Social Robotics" by Dr. Chris Reinke

Speaker: Dr. Chris Reinke
               Inria Grenoble

Title:Successor Features Representations: Human-inspired Transfer Reinforcement Learning and its Application to Social Robotics

[Seminar 2] "Contraction analysis of convergence and synchronization" by Prof. Slotine

Speaker: Prof. Jean-Jacques Slotine
Massachusetts Institute of Technology

[Seminar 1] "Stable adaptation and learning" by Prof. Slotine

Speaker: Prof. Jean-Jacques Slotine
Massachusetts Institute of Technology

Neural Computation Workshop 2022

Neural Computation Unit will hold a retreat/reunion at OIST seaside house. If you are interested in joining, pleaese contact ncus@oist.jp

[Seminar] Conscience, Conditional Cooperation, and the Prospects of Surviving Capitalism

Speaker: Prof. Shimon Edelman
               Department of Psychology
               Cornell University

Title: Conscience, Conditional Cooperation, and the Prospects of Surviving Capitalism

[Seminar] Autodiagnosis and the Dynamical Emergence Theory of Basic Consciousness

Speaker: Prof. Shimon Edelman
               Department of Psychology
               Cornell University

Title: Autodiagnosis and the Dynamical Emergence Theory of Basic Consciousness 

OIST/Humanoids2022 Joint Workshop

Neural Computation Unit will hold  an OIST / Humanoids 2022 joint workshop at Auditorium. If you are interested in joining, please register.

[Seminar] Updating internal models for reward-based sequential choice decisions in the rat cingulate-motor circuits

Speaker: Dr. Daigo Takeuchi
               The University of Tokyo School of Medicine, Department of Physiology

Title:Updating internal models for reward-based sequential choice decisions in the rat cingulate-motor circuits

Neural Computation Workshop 2021

Neural Computation Unit will hold a retreat/reunion at OIST conference center. If you are interested in joining, pleaese contact ncus@oist.jp

[Seminar] "Revisiting Peng's Q(λ): Good Old-Fashioned Algorithm for Modern Reinforcement Learning” by Dr. Tadashi Kozuno

Speaker: Dr. Tadashi Kozuno
                RLAI Lab, University of Alberta

Title:Revisiting Peng's Q(λ): Good Old-Fashioned Algorithm for Modern Reinforcement Learning