| 2023 | IROS | On-Robot Bayesian Reinforcement Learning for POMDPs. | Hai Nguyen, Sammie Katt, Yuchen Xiao, Christopher Amato |
| 2022 | AAAI | A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning. | Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato |
| 2020 | AAAI | Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract). | Yuchen Xiao, Joshua Hoffman, Tian Xia, Christopher Amato |
| 2020 | ICRA | Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net. | Yuchen Xiao, Joshua Hoffman, Tian Xia, Christopher Amato |
| 2019 | CoRL | Macro-Action-Based Deep Multi-Agent Reinforcement Learning. | Yuchen Xiao, Joshua Hoffman, Christopher Amato |
| 2019 | HPSR | Trajectory Tracking for Autonomous Underwater Vehicle Based on Model-Free Predictive Control. | Weiwei Xu, Yuchen Xiao, Hongran Li, Jian Zhang, Heng Zhang |
| 2019 | ICRA | Online Planning for Target Object Search in Clutter under Partial Observability. | Yuchen Xiao, Sammie Katt, Andreas ten Pas, Shengjian Chen, Christopher Amato |
| 2018 | ICRA | Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems. | Trong Nghia Hoang, Yuchen Xiao, Kavinayan Sivakumar, Christopher Amato, Jonathan P. How |
| 2016 | ICRA | On the feasibility of wearable exotendon networks for whole-hand movement patterns in stroke patients. | Sangwoo Park, Lauri Bishop, Tara Post, Yuchen Xiao, Joel Stein, Matei T. Ciocarlie |
| 2016 | IROS | Contact localization through spatially overlapping piezoresistive signals. | Pedro Piacenza, Yuchen Xiao, Steve Park, Ioannis Kymissis, Matei T. Ciocarlie |