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ORCIDAhmadreza Moradipari
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2020 – today
- 2025
[i15]Sung-Yeon Park, Can Cui, Yunsheng Ma, Ahmadreza Moradipari, Rohit Gupta, Kyungtae Han, Ziran Wang:
NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models. CoRR abs/2503.12772 (2025)- 2024
- [c15]Amirhossein Afsharrad, Ahmadreza Moradipari, Sanjay Lall:
Convex Methods for Constrained Linear Bandits. ECC 2024: 2111-2118 - [c14]Mahyar Abbasian
, Taha Rajabzadeh, Ahmadreza Moradipari, Seyed Amir Hossein Aqajari, Hongsheng Lu, Amir M. Rahmani:
Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation. SAC 2024: 1061-1063 - [c13]Lahiri Kanipakam, Ahmed Hamdi Sakr, Sergei S. Avedisov, Ahmadreza Moradipari:
Cooperative Adaptive Cruise Control Based on Intent Sharing Messages and Reinforcement Learning. VNC 2024: 188-194 - [c12]Ahmadreza Moradipari, Sergei S. Avedisov, Hongsheng Lu:
Benefits of Intent Sharing in Cooperative Platooning. VNC 2024: 195-202 - [c11]Ahmadreza Moradipari, Sergei S. Avedisov:
Merits of intent sharing communication for platooning: energy efficiency and road capacity. VTC Fall 2024: 1-5 - [i14]Amirhossein Afsharrad, Parisa Oftadeh, Ahmadreza Moradipari, Sanjay Lall:
Cooperative Multi-Agent Constrained Stochastic Linear Bandits. CoRR abs/2410.17382 (2024) - 2023
- [c10]Ahmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini, Vaneet Aggarwal:
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning. NeurIPS 2023 - [i13]Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi-Pari, David Isele:
Predicting Parameters for Modeling Traffic Participants. CoRR abs/2301.10893 (2023) - [i12]Mahyar Abbasian, Taha Rajabzadeh, Ahmadreza Moradipari, Seyed Amir Hossein Aqajari, Hongsheng Lu, Amir M. Rahmani:
Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation. CoRR abs/2307.13978 (2023) - [i11]Ahmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini, Vaneet Aggarwal:
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning. CoRR abs/2310.20007 (2023) - [i10]Amirhossein Afsharrad, Ahmadreza Moradipari, Sanjay Lall:
Convex Methods for Constrained Linear Bandits. CoRR abs/2311.04338 (2023) - 2022
- [b1]Ahmadreza Moradipari:
Learning and Pricing Algorithms for Human-Cyber-Physical Systems. University of California, Santa Barbara, USA, 2022 - [c9]Ahmadreza Moradipari, Mohammad Ghavamzadeh, Mahnoosh Alizadeh:
Collaborative Multi-agent Stochastic Linear Bandits. ACC 2022: 2761-2766 - [c8]Ahmadreza Moradipari, Berkay Turan, Yasin Abbasi-Yadkori, Mahnoosh Alizadeh, Mohammad Ghavamzadeh:
Feature and Parameter Selection in Stochastic Linear Bandits. ICML 2022: 15927-15958 - [c7]Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh, Christos Thrampoulidis, Mahnoosh Alizadeh:
Multi-Environment Meta-Learning in Stochastic Linear Bandits. ISIT 2022: 1659-1664 - [c6]Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi-Pari, David Isele:
Predicting Parameters for Modeling Traffic Participants. ITSC 2022: 703-708 - [i9]Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh, Christos Thrampoulidis, Mahnoosh Alizadeh:
Multi-Environment Meta-Learning in Stochastic Linear Bandits. CoRR abs/2205.06326 (2022) - [i8]Ahmadreza Moradipari, Mohammad Ghavamzadeh, Mahnoosh Alizadeh:
Collaborative Multi-agent Stochastic Linear Bandits. CoRR abs/2205.06331 (2022) - 2021
- [j3]Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Safe Linear Thompson Sampling With Side Information. IEEE Trans. Signal Process. 69: 3755-3767 (2021) - [c5]Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Safe Linear Bandits. CISS 2021: 1 - [i7]Ahmadreza Moradipari, Yasin Abbasi-Yadkori, Mahnoosh Alizadeh, Mohammad Ghavamzadeh:
Parameter and Feature Selection in Stochastic Linear Bandits. CoRR abs/2106.05378 (2021) - 2020
- [j2]Ahmadreza Moradipari, Mahnoosh Alizadeh:
Pricing and Routing Mechanisms for Differentiated Services in an Electric Vehicle Public Charging Station Network. IEEE Trans. Smart Grid 11(2): 1489-1499 (2020) - [j1]Nathaniel Tucker, Ahmadreza Moradipari, Mahnoosh Alizadeh:
Constrained Thompson Sampling for Real-Time Electricity Pricing With Grid Reliability Constraints. IEEE Trans. Smart Grid 11(6): 4971-4983 (2020) - [c4]Ahmadreza Moradipari, Mahnoosh Alizadeh, Christos Thrampoulidis:
Linear Thompson Sampling Under Unknown Linear Constraints. ICASSP 2020: 3392-3396 - [c3]Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh:
Stage-wise Conservative Linear Bandits. NeurIPS 2020 - [i6]Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh:
Stage-wise Conservative Linear Bandits. CoRR abs/2010.00081 (2020) - no results
2010 – 2019
- 2019
- [i5]Ahmadreza Moradipari, Mahnoosh Alizadeh:
Pricing and Routing Mechanisms for Differentiated Services in an Electric Vehicle Public Charging Station Network. CoRR abs/1903.06388 (2019) - [i4]Nathaniel Tucker, Ahmadreza Moradipari, Mahnoosh Alizadeh:
Constrained Thompson Sampling for Real-Time Electricity Pricing with Grid Reliability Constraints. CoRR abs/1908.07964 (2019) - [i3]Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Safe Linear Thompson Sampling. CoRR abs/1911.02156 (2019) - [i2]Ahmadreza Moradipari, Nathaniel Tucker, Tuo Zhang, Gustavo Cezar, Mahnoosh Alizadeh:
Mobility-Aware Smart Charging of Electric Bus Fleets. CoRR abs/1912.05681 (2019) - 2018
- [c2]Ahmadreza Moradipari, Mahnoosh Alizadeh:
Pricing Differentiated Services in an Electric Vehicle Public Charging Station Network. CDC 2018: 6488-6494 - [c1]Ahmadreza Moradipari, Cody Silva, Mahnoosh Alizadeh:
Learning to Dynamically Price Electricity Demand Based on Multi-Armed Bandits. GlobalSIP 2018: 917-921 - [i1]Ahmadreza Moradipari, Mahnoosh Alizadeh:
Electric Vehicle Charging Station Network Equilibrium Models and Pricing Schemes. CoRR abs/1811.08582 (2018) - no results
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