Welcome to the Yonsei RLLAB website! We are interested in enabling machines to learn complex real-world tasks, especially with robots. We work on reinforcement learning, imitation learning, generative modeling, and their applications.
News
- [Jun, 2024] One paper was accepted to IROS 2024
- [May, 2024] Open X-Embodiment Datasets and RT-X won the IEEE ICRA Best Conference Paper Award
- [May, 2024] Two papers (HumanoidBench and DROID) were accepted to RSS 2024
- [Apr, 2024] We won the NRF Outstanding Young Scientist grant ($200k for 5 years)
- [Mar, 2024] Youngwoon serves as an area chair for NeurIPS 2024
- [Mar, 2024] We released DROID, a large-scale robotic dataset
- [Mar, 2024] We released HumanoidBench, a simulated humanoid robot benchmark
- [Jan, 2024] One paper was accepted to ICRA 2024
- [Jan, 2024] One paper was accepted to ICLR 2024
- [Jan, 2024] Youngwoon joined Yonsei University as an assistant professor in AI