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2020 – today
- 2024
[i10]Shaan Ul Haque, Sajad Khodadadian, Siva Theja Maguluri:
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise. CoRR abs/2401.00364 (2024)- 2023
- [j3]Sajad Khodadadian
, Thinh T. Doan, Justin Romberg, Siva Theja Maguluri:
Finite-Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. IEEE Trans. Autom. Control. 68(6): 3273-3284 (2023) - 2022
- [j2]Zaiwei Chen, Sajad Khodadadian, Siva Theja Maguluri:
Finite-Sample Analysis of Off-Policy Natural Actor-Critic With Linear Function Approximation. IEEE Control. Syst. Lett. 6: 2611-2616 (2022) - [j1]Sajad Khodadadian, Prakirt Raj Jhunjhunwala, Sushil Mahavir Varma, Siva Theja Maguluri:
On linear and super-linear convergence of Natural Policy Gradient algorithm. Syst. Control. Lett. 164: 105214 (2022) - [c5]Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri:
Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling. ICML 2022: 10997-11057 - [i9]Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri:
Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling. CoRR abs/2206.10185 (2022) - [i8]Kyungmin Ko, Sajad Khodadadian, Siva Theja Maguluri:
Backward Curriculum Reinforcement Learning. CoRR abs/2212.14214 (2022) - 2021
- [c4]Sajad Khodadadian, Prakirt Raj Jhunjhunwala, Sushil Mahavir Varma, Siva Theja Maguluri:
On the Linear Convergence of Natural Policy Gradient Algorithm. CDC 2021: 3794-3799 - [c3]Sajad Khodadadian, Zaiwei Chen, Siva Theja Maguluri:
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm. ICML 2021: 5420-5431 - [c2]Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash:
Impact of Data Processing on Fairness in Supervised Learning. ISIT 2021: 2643-2648 - [i7]Sajad Khodadadian, Thinh T. Doan, Siva Theja Maguluri, Justin Romberg:
Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. CoRR abs/2101.10506 (2021) - [i6]Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash:
Impact of Data Processing on Fairness in Supervised Learning. CoRR abs/2102.01867 (2021) - [i5]Sajad Khodadadian, Zaiwei Chen, Siva Theja Maguluri:
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm. CoRR abs/2102.09318 (2021) - [i4]Sajad Khodadadian, Prakirt Raj Jhunjhunwala, Sushil Mahavir Varma, Siva Theja Maguluri:
On the Linear convergence of Natural Policy Gradient Algorithm. CoRR abs/2105.01424 (2021) - [i3]Zaiwei Chen, Sajad Khodadadian, Siva Theja Maguluri:
Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear Function Approximation. CoRR abs/2105.12540 (2021) - [i2]Sajad Khodadadian, Mohamed S. Nafea, AmirEmad Ghassami, Negar Kiyavash:
Information Theoretic Measures for Fairness-aware Feature Selection. CoRR abs/2106.00772 (2021)
2010 – 2019
- 2018
- [c1]AmirEmad Ghassami, Sajad Khodadadian, Negar Kiyavash:
Fairness in Supervised Learning: An Information Theoretic Approach. ISIT 2018: 176-180 - [i1]AmirEmad Ghassami, Sajad Khodadadian, Negar Kiyavash:
Fairness in Supervised Learning: An Information Theoretic Approach. CoRR abs/1801.04378 (2018)
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