Discovery of hierarchical representations for efficient planning. - Momchil S. Tomov; Samyukta Yagati; Agni Kumar; Wanqian Yang; Samuel J. Gershman (PLoS Comput. Biol., 2020)

CCNLab: A Benchmarking Framework for Computational Cognitive Neuroscience. - Nikhil X. Bhattasali; Momchil S. Tomov; Samuel J. Gershman (NeurIPS Datasets and Benchmarks, 2021)

Driving in Real Life with Inverse Reinforcement Learning. - Tung Phan-Minh; Forbes Howington; Ting-Sheng Chu; Sang Uk Lee; Momchil S. Tomov; Nanxiang Li; Caglayan Dicle; Samuel Findler; Francisco Suárez-Ruiz; Robert E. Beaudoin; Bo Yang; Sammy Omari; et al. (CoRR, 2022)

DriveIRL: Drive in Real Life with Inverse Reinforcement Learning. - Tung Phan-Minh; Forbes Howington; Ting-Sheng Chu; Momchil S. Tomov; Robert E. Beaudoin; Sang Uk Lee; Nanxiang Li; Caglayan Dicle; Samuel Findler; Francisco Suárez-Ruiz; Bo Yang; Sammy Omari; et al. (ICRA, 2023)

Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world Environments. - Marc Heim; Francisco Suárez-Ruiz; Ishraq Bhuiyan; Bruno Brito; Momchil S. Tomov (CoRR, 2024)

Explainable deep learning improves human mental models of self-driving cars. - Eoin M. Kenny; Akshay Dharmavaram; Sang Uk Lee; Tung Phan-Minh; Shreyas Rajesh; Yunqing Hu; Laura Major; Momchil S. Tomov; Julie A. Shah (CoRR, 2024)

Predictive Representations: Building Blocks of Intelligence. - Wilka Carvalho; Momchil S. Tomov; William de Cothi; Caswell Barry; Samuel J. Gershman (Neural Comput., 2024)