Short description of portfolio item number 1

Short description of portfolio item number 2

Emergent Correlated Equilibrium through Synchronized Exploration

Mark Beliaev*, Woodrow Z. Wang*, Daniel A. Lazar, Erdem Bıyık, Dorsa Sadigh, and Ramtin Pedarsani.

RSS 2020 - Workshop on Emergent Behaviors in Human-Robot Systems, July 2020.

• [pdf]

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, and Ramtin Pedarsani.

ICCPS 2021 - 12th ACM/IEEE International Conference on Cyber-Physical Systems, May 2021.

• [doi]
• [arXiv]
• [YouTube]

Emergent Prosociality in Multi-Agent Games Through Gifting

Woodrow Z. Wang*, Mark Beliaev*, Erdem Biyik*, Daniel A. Lazar, Ramtin Pedarsani, and Dorsa Sadigh.

IJCAI 2021 - 30th International Joint Conference on Artificial Intelligence, August 2021.

• [doi]
• [arXiv]
• [github]
• [YouTube]

Congestion-aware Bi-modal Delivery Systems Utilizing Drones

Mark Beliaev, Negar Mehr, and Ramtin Pedarsani.

ECC 2022 - European Control Conference, July 2022.

• [doi]
• [github]
• [YouTube]

Imitation Learning by Estimating Expertise of Demonstrators

Mark Beliaev*, Andy Shih*, Stefano Ermon, Dorsa Sadigh, and Ramtin Pedarsani.

ICML 2022 - 39th International Conference on Machine Learning, July 2022.

• [doi]
• [arXiv]
• [github]
• [YouTube]

Efficient and Robust Classification for Sparse Attacks

Mark Beliaev, Payam Delgosha, Hamed Hassani, and Ramtin Pedarsani.

IEEE Journal on Selected Areas in Information Theory, May 2024.

• [doi]
• [arXiv]
• [github]

Pricing for Multi-modal Pickup and Delivery Problems with Heterogeneous Users

Mark Beliaev, Negar Mehr, and Ramtin Pedarsani.

Transportation Research Part C: Emerging Technologies, September 2024.

• [arXiv]
• [doi]
• [github]

Inverse Reinforcement Learning by Estimating Expertise of Demonstrators

Mark Beliaev and Ramtin Pedarsani.

(To appear in) AAAI 2025 - 39th Annual AAAI Conference on Artificial Intelligence, February 2025.

• [arXiv]

Published: May 19, 2021

Undergraduate course, University of California, Santa Barbara, Electrical Engineering, 1900

Foundations of Analog and Digital Circuits and Systems

Holding office hours and labs, grading homeworks, exams, and labs

Undergraduate course, University of California, Santa Barbara, Electrical Engineering, 1900

Signal Analysis and Processing

Holding office hours and sections, grading homeworks, exams, and labs

Undergraduate course, University of California, Santa Barbara, Electrical Engineering, 1900

Multimedia Systems

Holding office hours and labs, grading homeworks, exams, and labs

Undergraduate course, University of California, Santa Barbara, Electrical Engineering, 1900

Machine Learning: A Probabilistic Perspective

Designing labs for PyTorch, holding office hours, grading homeworks and labs

Graduate course, University of California, Santa Barbara, Electrical Engineering, 1900

Stochastic Processes in Engineering

Grading homeworks and exams

Graduate course, University of California, Santa Barbara, Electrical Engineering, 1900

Machine Learning: A Signal Processing Perspective

Holding office hours, grading homeworks and labs