| 2025 | AIES | Aligning Agent Policies with Preferences: Human-Centered Interpretable Reinforcement Learning. | Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Lirong Xia, Fei Fang |
| 2021 | AAAI | Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. | Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso |
| 2019 | AAAI | Generation of Policy-Level Explanations for Reinforcement Learning. | Nicholay Topin, Manuela Veloso |
| 2019 | IJCAI | MineRL: A Large-Scale Dataset of Minecraft Demonstrations. | William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden R. Codel, Manuela Veloso, Ruslan Salakhutdinov |
| 2019 | IROS | Online Planning for Autonomous Underwater Vehicles Performing Information Gathering Tasks in Large Subsea Environments. | Harun Yetkin, James McMahon, Nicholay Topin, Artur Wolek, Zachary Waters, Daniel J. Stilwell |
| 2016 | ICDM | Feature Selection in Environments with Limited Voluntary Information Sharing. | Nicholay Topin, Karan K. Budhraja, Tim Oates |
| 2015 | IJCAI | Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes. | Nicholay Topin, Nicholas Haltmeyer, Shawn Squire, John Winder, Marie desJardins, James MacGlashan |