Sajad Khodadadian

23 papers A* 2B 2Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging. CoRR Sajad Khodadadian, Martin Zubeldia
2025	J	`jnl`	Leveraging High-Fidelity Digital Models and Reinforcement Learning for Mission Engineering: A Case Study of Aerial Firefighting Under Perfect Information. CoRR Ibrahim Oguz Çetinkaya, Sajad Khodadadian, Taylan G. Topcu
2025	J	`jnl`	Optimistic Reinforcement Learning with Quantile Objectives. CoRR Mohammad Alipour-Vaezi, Huaiyang Zhong, Kwok-Leung Tsui, Sajad Khodadadian
2025	J	`jnl`	Tail Distribution of Regret in Optimistic Reinforcement Learning. CoRR Sajad Khodadadian, Mehrdad Moharrami
2024	—	`—`	Sample complexity of Reinforcement Learning algorithms with a focus on policy space methods. Sajad Khodadadian
2024	J	`jnl`	Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise. CoRR Shaan Ul Haque, Sajad Khodadadian, Siva Theja Maguluri
2023	J	`jnl`	Finite-Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. IEEE Trans. Autom. Control. Sajad Khodadadian, Thinh T. Doan, Justin Romberg, Siva Theja Maguluri
2022	J	`jnl`	Backward Curriculum Reinforcement Learning. CoRR Kyungmin Ko, Sajad Khodadadian, Siva Theja Maguluri
2022	A*	`conf`	Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling. ICML Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri
2022	J	`jnl`	Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling. CoRR Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri
2022	J	`jnl`	Finite-Sample Analysis of Off-Policy Natural Actor-Critic With Linear Function Approximation. IEEE Control. Syst. Lett. Zaiwei Chen, Sajad Khodadadian, Siva Theja Maguluri
2022	J	`jnl`	On linear and super-linear convergence of Natural Policy Gradient algorithm. Syst. Control. Lett. Sajad Khodadadian, Prakirt Raj Jhunjhunwala, Sushil Mahavir Varma, Siva Theja Maguluri
2021	J	`jnl`	Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. CoRR Sajad Khodadadian, Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2021	A*	`conf`	Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm. ICML Sajad Khodadadian, Zaiwei Chen, Siva Theja Maguluri
2021	J	`jnl`	Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm. CoRR Sajad Khodadadian, Zaiwei Chen, Siva Theja Maguluri
2021	J	`jnl`	Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear Function Approximation. CoRR Zaiwei Chen, Sajad Khodadadian, Siva Theja Maguluri
2021	B	`conf`	Impact of Data Processing on Fairness in Supervised Learning. ISIT Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash
2021	J	`jnl`	Impact of Data Processing on Fairness in Supervised Learning. CoRR Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash
2021	J	`jnl`	Information Theoretic Measures for Fairness-aware Feature Selection. CoRR Sajad Khodadadian, Mohamed S. Nafea, AmirEmad Ghassami, Negar Kiyavash
2021	—	`conf`	On the Linear Convergence of Natural Policy Gradient Algorithm. CDC Sajad Khodadadian, Prakirt Raj Jhunjhunwala, Sushil Mahavir Varma, Siva Theja Maguluri
2021	J	`jnl`	On the Linear convergence of Natural Policy Gradient Algorithm. CoRR Sajad Khodadadian, Prakirt Raj Jhunjhunwala, Sushil Mahavir Varma, Siva Theja Maguluri
2018	B	`conf`	Fairness in Supervised Learning: An Information Theoretic Approach. ISIT AmirEmad Ghassami, Sajad Khodadadian, Negar Kiyavash
2018	J	`jnl`	Fairness in Supervised Learning: An Information Theoretic Approach. CoRR AmirEmad Ghassami, Sajad Khodadadian, Negar Kiyavash