Incentivizing routing choices for safe and efficient transportation in the face of the COVID-19 pandemic. - Mark Beliaev; Erdem Biyik; Daniel A. Lazar; Woodrow Z. Wang; Dorsa Sadigh; Ramtin Pedarsani (ICCPS, 2021)

Emergent Prosociality in Multi-Agent Games Through Gifting. - Woodrow Z. Wang; Mark Beliaev; Erdem Biyik; Daniel A. Lazar; Ramtin Pedarsani; Dorsa Sadigh (IJCAI, 2021)

Congestion-aware Bi-modal Delivery Systems Utilizing Drones. - Mark Beliaev; Negar Mehr; Ramtin Pedarsani (ECC, 2022)

Imitation Learning by Estimating Expertise of Demonstrators. - Mark Beliaev; Andy Shih; Stefano Ermon; Dorsa Sadigh; Ramtin Pedarsani (ICML, 2022)

Pricing for Multi-modal Pickup and Delivery Problems with Heterogeneous Users. - Mark Beliaev; Negar Mehr; Ramtin Pedarsani (CoRR, 2023)

Efficient and Robust Classification for Sparse Attacks. - Mark Beliaev; Payam Delgosha; Hamed Hassani; Ramtin Pedarsani (IEEE J. Sel. Areas Inf. Theory, 2024)

Inverse Reinforcement Learning by Estimating Expertise of Demonstrators. - Mark Beliaev; Ramtin Pedarsani (AAAI, 2025)

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering. - Mark Beliaev; Victor Yang; Madhura Raju; Jiachen Sun; Xinghai Hu (CoRR, 2025)