Peyman Mohajerin Esfahani
Associate Professor
Studies data-driven decision-making under uncertainty, including distributionally robust optimization and learning-based control.
Peyman Mohajerin Esfahani's lab at Toronto works on reinforcement learning, learning theory & optimization and manipulation & robot learning. 43 papers since 2023, 14 at top venues, mostly TAC and ICML. 8 PhD students and 2 master's students. 70 alumni. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 33%
- PhD students
- 8
- MS students
- 2
- alumni listed
- 70
Papers by yearfrom the lab homepage, 2023–2026
- 13 papers2026 · T1 6 · collecting
- 11 papers2025 · T1 3
- 12 papers2024 · T1 3
- 7 papers2023 · T1 2
T1 venuesOtherVenues: TAC, ICML, IFAC, NeurIPS, CDC
Research focuspaper titles that use each topic's words
- Learning theory & optimization14 papers
- Reinforcement learning6 papers
- Manipulation & robot learning6 papers
- studies data-driven0 papers
- data-driven decision-making0 papers
Paper list
From the lab homepage.
202613 papers
- ECCA Hybrid Algorithm for Monotone Variational Inequalities (opens in a new tab)
- AutomaticaA Saddle Point Algorithm for Robust Data-Driven Factor Model Problems (opens in a new tab)
- TAC (T1)Accelerating Adaptive Systems via Normalized Parameter Estimation Laws (opens in a new tab)
- AutomaticaActive Estimation of Multiplicative Faults in Dynamical Systems (opens in a new tab)
- TCSTFault Isolation for the Ink Deposition Process in High-End Industrial Printers (opens in a new tab)
- TAC (T1)From Optimization to Control: Quasi Policy Iteration (opens in a new tab)
- ICML (T1)G\(^2\)RPO: Geometric GRPO Escaping LLM’s Reasoning Rut to Break Accuracy–Entropy Trade-off (opens in a new tab)
- IFACInput Design for System Order Estimation (opens in a new tab)
- ECCLeveraging Statistical Prior Knowledge in Adaptive Control of Nonlinear Systems (opens in a new tab)
- TMLR (T1)Offline Reinforcement Learning via Inverse Optimization (opens in a new tab)
- SISCOptimal Transportation by Orthogonal Coupling Dynamics (opens in a new tab)
- ICML (T1)Rate or Fate? RLV\(^\varepsilon\)R: Reinforcement Learning with Verifiable Noisy Rewards (opens in a new tab)
202511 papers
- ORLA Frank-Wolfe Algorithm for Strongly Monotone Variational Inequalities (opens in a new tab)
- IEEE Transactions on Transportation ElectrificationA User-centric Game for Balancing V2G Benefits with Battery Degradation of Electric Vehicles (opens in a new tab)
- IEEE Control System LettersData-Driven Fault Isolation in Linear Time-Invariant Systems: A Subspace Classification Approach (opens in a new tab)
- JMLR (T1)Fast Algorithm for Constrained Linear Inverse Problems (opens in a new tab)
- Annual Review of Control, Robotics, and Autonomous SystemsFault Diagnosis in Dynamical Systems: Geometric Interpretation and Tractable Algorithms (opens in a new tab)
- ICML (T1)Inverse Optimization via Learning Feasible Regions (opens in a new tab)
- AutomaticaModel Updating for Nonlinear Systems with Stability Guarantees (opens in a new tab)
- ECCmonviso: A Python Package for Solving Monotone Variational Inequalities (opens in a new tab)
- ICML (T1)Rank-One Modified Value Iteration (opens in a new tab)
- TCSTRobust Fault Estimation with Structured Uncertainty: Scalable Algorithms and Experimental Validation in Automated Vehicles (opens in a new tab)
- IEEE International Conference on Automation Science and EngineeringUser-centric Vehicle-to-Grid Optimization with an Input Convex Neural Network-based Battery Degradation Model (opens in a new tab)
202412 papers
- IFACA Kernel-Based Approach to Data-Driven Actuator Fault Estimation (opens in a new tab)
- TAC (T1)Distributionally Robust Model Predictive Control: Closed-loop Guarantees and Scalable Algorithms (opens in a new tab)
- MEDFast Adaptive First-Order Semidefinite Programming for Data-Driven Linear Quadratic Regulation (opens in a new tab)
- CDCHarmonic RL: A Frequency-Domain Approach to Reinforcement Learning with Application to Active Knee Prosthesis (opens in a new tab)
- Transportation ScienceInverse Optimization for Routing Problems (opens in a new tab)
- Operations Research (T1)Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms (opens in a new tab)
- MPNonlinear Distributionally Robust Optimization (opens in a new tab)
- TCSTReal-Time Ground Fault Detection for Inverter-Based Microgrid Systems (opens in a new tab)
- AutomaticaRobust Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design (opens in a new tab)
- AutomaticaRobust Multivariate Detection and Estimation with Fault Frequency Content Information (opens in a new tab)
- NeurIPS (T1)Scalable Kernel Inverse Optimization (opens in a new tab)
- ECCUncertainty Learning for LTI Systems with Stability Guarantees (opens in a new tab)
20237 papers
- TCSTA Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks (opens in a new tab)
- TAC (T1)Adaptive Online Optimization with Predictions: Static and Dynamic Environments (opens in a new tab)
- MORBridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization (opens in a new tab)
- TAC (T1)Fast Approximate Dynamic Programming for Input-Affine Dynamics (opens in a new tab)
- IFACLinear Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design (opens in a new tab)
- IEEE Control Systems LettersLinear Time-Varying Parameter Estimation: Maximum A Posteriori Approach via Semidefinite Programming (opens in a new tab)
- AutomaticaMultimode Diagnosis for Switched Affine Systems with Noisy Measurement (opens in a new tab)
Where alumni went70 listed, 0% to industry
Industry 0Academia 9
Also to
- EPFL
- Carnegie Mellon University
- Rotterdam School of Management
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
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