Yichen Wei

I am a second-year master's student at Brown University, working with Prof. Stefanie Tellex and Prof. George Konidaris on exploration in Reinforcement Learning and language grounding. Before that, I received my bachelor's degree in computer science at Tufts University, where I worked with Prof. Jivko Sinapov and Prof. Matthias Scheutz on novelty handling in Neurosymbolics systems in the open world.

I am interested in building intelligent, general-purpose robots that can interact with humans and the real world. Currently, I am working on integrating planning and learning in the context of exploration in Reinforcement Learning.

Outside of research, I enjoy cooking, traveling, and photography.

Publications

Structured Exploration in Reinforcement Learning by Hypothesizing Linear Temporal Logic Formulas

Yichen Wei, Xiaochen Li, Jason Xinyu Liu, Naman Shah, Benedict Quartey, George Konidaris, Stefanie Tellex, Akhil Bagaria

Work in progress

Also presented at CoRL 2024 Workshop on Learning Effective Abstractions for Planning (LEAP 2024)

LaNMP: A Language-Conditioned Mobile Manipulation Benchmark for Autonomous Robots

Ahmed Jaafar, Shreyas Sundara Raman, Yichen Wei, Sofia E. Juliani, Anneke Wernerfeltt, Ifrah Idrees, Jason Xinyu Liu, Stefanie Tellex

RSS 2024 Workshop on Robotic Task Specification, RSS 2024 Workshop on Data Generation for Robotics

NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds

Shivam Goel, Yichen Wei, Panagiotis Lymperopoulos, Klára Churá, Matthias Scheutz, Jivko Sinapov

AAMAS 2024 [Oral] [Paper] [Code]

A neurosymbolic cognitive architecture framework for handling novelties in open worlds

Shivam Goel, Panagiotis Lymperopoulos, Ravenna Thielstrom, Evan Krause, Patrick Feeney, Pierrick Lorang, Sarah Schneider, Yichen Wei, Eric Kildebeck, Stephen Goss, Michael C Hughes, Liping Liu, Jivko Sinapov, Matthias Scheutz

Artificial Intelligence Volume 331, June 2024 [Paper]