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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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