Kamgarpour, Maryam

23 publications

AISTATS 2025 A Safe Exploration Approach to Constrained Markov Decision Processes Tingting Ni, Maryam Kamgarpour

NeurIPS 2025 Efficient Preference-Based Reinforcement Learning: Randomized Exploration Meets Experimental Design Andreas Schlaginhaufen, Reda Ouhamma, Maryam Kamgarpour

ICMLW 2024 A Safe Exploration Approach to Constrained Markov Decision Processes Tingting Ni, Maryam Kamgarpour

ICMLW 2024 Finite-Time Convergence to an $\epsilon$-Efficient Nash Equilibrium in Potential Games Anna Maria Maddux, Reda Ouhamma, Maryam Kamgarpour

ICMLW 2024 Learning Nash Equilibria in Zero-Sum Markov Games: A Single-Timescale Algorithm Under Weak Reachability Reda Ouhamma, Maryam Kamgarpour

JMLR 2024 Log Barriers for Safe Black-Box Optimization with Application to Safe Reinforcement Learning Ilnura Usmanova, Yarden As, Maryam Kamgarpour, Andreas Krause

AISTATS 2024 Multi-Agent Learning in Contextual Games Under Unknown Constraints Anna M. Maddux, Maryam Kamgarpour

NeurIPS 2024 Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning Andreas Schlaginhaufen, Maryam Kamgarpour

ICMLW 2024 Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning Andreas Schlaginhaufen, Maryam Kamgarpour

ICML 2023 Identifiability and Generalizability in Constrained Inverse Reinforcement Learning Andreas Schlaginhaufen, Maryam Kamgarpour

ICML 2022 Efficient Model-Based Multi-Agent Reinforcement Learning via Optimistic Equilibrium Computation Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause

ICML 2021 Fast Projection onto Convex Smooth Constraints Ilnura Usmanova, Maryam Kamgarpour, Andreas Krause, Kfir Levy

ICML 2021 Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour

L4DC 2021 Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li

NeurIPS 2020 Contextual Games: Multi-Agent Learning with Side Information Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour

L4DC 2020 Learning the Globally Optimal Distributed LQ Regulator Luca Furieri, Yang Zheng, Maryam Kamgarpour

NeurIPS 2020 Learning to Play Sequential Games Versus Unknown Opponents Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause

AISTATS 2020 Mixed Strategies for Robust Optimization of Unknown Objectives Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause

L4DC 2020 Safe Non-Smooth Black-Box Optimization with Application to Policy Search Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour

AISTATS 2019 Bounding Inefficiency of Equilibria in Continuous Actions Games Using Submodularity and Curvature Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause

NeurIPS 2019 No-Regret Learning in Unknown Games with Correlated Payoffs Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause

AISTATS 2019 Safe Convex Learning Under Uncertain Constraints Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour

JAIR 2017 The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros