| 2023 | ACML | BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning. | Omer Veysel Cagatan, Baris Akgn |
| 2022 | CoRL | Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation. | Bugra Can Sefercik, Baris Akgn |
| 2020 | WCNC | Distributed Deep Reinforcement Learning with Wideband Sensing for Dynamic Spectrum Access. | Umuralp Kaytaz, Seyhan Ucar, Baris Akgn, Sinem Coleri |
| 2016 | RO-MAN | Grounding action parameters from demonstration. | Kalesha Bullard, Baris Akgn, Sonia Chernova, Andrea Lockerd Thomaz |
| 2015 | ICCBR | Visual Case Retrieval for Interpreting Skill Demonstrations. | Tesca Fitzgerald, Keith McGreggor, Baris Akgn, Andrea Thomaz, Ashok K. Goel |
| 2015 | IROS | Self-improvement of learned action models with learned goal models. | Baris Akgn, Andrea Lockerd Thomaz |
| 2015 | IROS | An evaluation of GUI and kinesthetic teaching methods for constrained-keyframe skills. | Andrey Kurenkov, Baris Akgn, Andrea Lockerd Thomaz |
| 2012 | HRI | Trajectories and keyframes for kinesthetic teaching: a human-robot interaction perspective. | Baris Akgn, Maya Cakmak, Jae Wook Yoo, Andrea Lockerd Thomaz |
| 2011 | AAAI | Learning Tasks and Skills Together From a Human Teacher. | Baris Akgn, Kaushik Subramanian, Jaeeun Shim, Andrea Lockerd Thomaz |
| 2011 | IROS | Sampling heuristics for optimal motion planning in high dimensions. | Baris Akgn, Mike Stilman |