← All people
PhD Candidate
Jasmine Bayrooti
MARL & GNNEnv Co-Design
Jasmine is interested in research at the intersection of mathematics, machine learning theory, and robotics that can enhance the way agents learn and interact. She focuses on parameterizing uncertainty and strengthening resilience.
Publications
- Generalized Intention Modeling in Multi-Agent Reinforcement Learning NeurIPS 2026 2026
- No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes NeurIPS 2025 2025
- Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling ICLR 2025 2025
- Provably Safe Online Multi-Agent Navigation in Unknown Environments CoRL 2024 2024