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연구
연구실
강화학습 및 로봇학습연구실 인공지능
Reinforcement Learning and Robot Learning Lab
담당교수 이영운
공학원 439A호
연구실 소개
Research goal is to enable machines to learn complex real-world tasks, especially with complex robotic systems, such as humanoid robots. Toward this goal, I am interested in developing scalable reinforcement learning frameworks that can leverage prior knowledge and diverse data.
연구분야
강화학습 로봇러닝 머신러닝대표 논문
- FurnitureBench: Reproducible Real-World Furniture Assembly Benchmark for Long-Horizon Complex Manipulation, RSS 2023
- Controllability-Aware Unsupervised Skill Discovery, ICML 2023
- Skill-based Model-based Reinforcement Learning, CoRL 2022
- Generalizable Imitation Learning from Observation via Inferring Goal Proximity, NeurIPS 2021
- IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks, ICRA 2021
- Accelerating Reinforcement Learning with Learned Skill Priors, CoRL 2020