Hi! I'm Raghav Thakar
I'm a Robotics PhD student at the Autonomous Agents and Distributed Intelligence Lab, in the Collaborative Robotics and Intelligent Systems Institute at Oregon State University. I am advised by Dr Kagan Tumer.
I work on multiagent learning, i.e., learning-based techniques that enable multiple autonomous agents to coordinate and perform complex tasks together. In particular, I am interested in multiagent learning for multi-objective problems, wherein multiagent systems must learn to optimise for and/or balance multiple objectives at once.
This summer I will be interning with the Autonomy team at Skydio in the San Francisco Bay Area!
If you would like to talk about research, new ideas, or anything else, please do not hesitate in reaching out: thakarr@oregonstate.edu
Email / LinkedIn / Google Scholar / GitHub / CV
Publications
- Post Hoc Extraction of Pareto Fronts for Continuous Control To appear at the International Joint Conference on Artifical Intelligence (IJCAI-ECAI) 2026 · PDF
- Cultivating Divergent Multi-Objective Expertise in Multiagent Systems via Expert Ensembles In Autonomous Agents at Multiagent Systems (AAMAS) 2026 - Adaptive and Learning Agents (ALA) Workshop · PDF
- The Specificity vs. Expense Trade-Off of Multiagent Credit In The Genetic and Evolutionary Computation Conference (GECCO) 2025 - Student Workshop · PDF
- Indirect Credit Without a Heuristic for Coevolving Agents In The Genetic and Evolutionary Computation Conference (GECCO) 2025 - Late-Breaking Abstract · PDF
- Multiagent Credit Assignment for Multi-Objective Coordination In The Genetic and Evolutionary Computation Conference (GECCO) 2025 · PDF
- Multi-Objective Credit Assignment for Multiagent Systems In The European Conference on Artifical Intelligence (ECAI) 2024 - Multi-Objective Decision Making (MODeM) Workshop · PDF
Updates
- - Attended AAMAS 2026 in Paphos, Cyprus to present at ALA and participate in the Doctoral Consortium.
- - "Post Hoc Extraction of Pareto Fronts for Continuous Control" accepted to IJCAI-ECAI 2026.
- - "Cultivating Divergent Multi-Objective Expertise in Multiagent Systems via Expert Ensembles" accepted to ALA @ AAMAS 2026.
- - Attended GECCO 2025 in Malaga, Spain.
- - “Multiagent Credit Assignment for Multi-Objective Coordination” awarded the best poster award at OSU AI Week 2025.
- - “The Specificity vs. Expense Trade-Off of Multiagent Credit” accepted to GECCO 2025 Student Workshop.
- - Late-Breaking Abstract “Indirect Credit Without a Heuristic for Co-evolving Agents” accepted at GECCO 2025.
- - Full paper “Multiagent Credit Assignment for Multi-Objective Coordination” accepted at GECCO 2025.
- - Passed PhD qualifier exam.
- - Started second year of PhD.
- - Workshop paper “Multi-Objective Credit Assignment for Multiagent Systems” accepted at MODeM 2024 @ ECAI 2024.
- - Attended AAMAS 2024 in Auckland, NZ.
- - Started PhD in Robotics at Oregon State University.
Experience
- September 2023 - Present: Graduate Research Assistant, AADI Lab, CoRIS Institute, Oregon State University
- November 2021 - April 2023 (In-person from February 2023): Undergraduate Researcher, Moon Lab, IISER Bhopal
- May 2022 - July 2022: MITACS Research Intern, MARS Lab, Ontario Tech University
- April 2021 - May 2022: Sensing and Automation Head, Project MANAS
- June 2021 - September 2021: Robotics Research Intern, Advanced Technology Division - Aerospace Engineers Pvt. Ltd.