About me
I am a research engineer working for an industrial company in Japan.
I am interested in how algorithms can enable machines to help human in real-world settings. Recently, I have been researching following topics:
- learning from human demonstrations, including inverse RL
- how human learns and generalizes different environements (model-based RL)
- generating dynamically feasible trajectories for unknown dynamics system
Previously, I researched in the area of mechanical and aerospace engineering. Please check portfolio pages, where I summarized some robots and artificial satellites I developed.
News
- I gave a tutorial talk about Deep Reinforcement Learning at MIRU2021!
- Our paper “Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation” was accpeted to RA-L + ICRA2021!
- Our paper “Deep Reactive Planning in Dynamic Environments” was accpeted to CoRL2020!
- Our paper “Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path” was accpeted to IROS2020!
- Our paper “Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?” was accpeted to ICML2020!
- Our paper “Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning” was accepted to IROS2019!