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Hiroki Furuta

Hiroki Furuta

Ph.D. student

The University of Tokyo

Interests
  • Deep Learning
  • Reinforcement Learning
Education
  • Currently enrolled in master's degree

    The University of Tokyo

  • BSc in Engineering, 2020

    The University of Tokyo

Latest

  • Collective Intelligence for 2D Push Manipulations With Mobile Robots
  • Our Ecology Theory of RL workshop is accepted to NeurIPS 2021!
  • Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
  • Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
  • Co-adaptation of algorithmic and implementational innovations in inference-based deep reinforcement learning

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