Pricing Differentiated Services in an Electric Vehicle Public Charging Station Network. - Ahmadreza Moradipari; Mahnoosh Alizadeh (CDC, 2018)

Learning to Dynamically Price Electricity Demand Based on Multi-Armed Bandits. - Ahmadreza Moradipari; Cody Silva; Mahnoosh Alizadeh (GlobalSIP, 2018)

Electric Vehicle Charging Station Network Equilibrium Models and Pricing Schemes. - Ahmadreza Moradipari; Mahnoosh Alizadeh (CoRR, 2018)

Safe Linear Thompson Sampling. - Ahmadreza Moradipari; Sanae Amani; Mahnoosh Alizadeh; Christos Thrampoulidis (CoRR, 2019)

Mobility-Aware Smart Charging of Electric Bus Fleets. - Ahmadreza Moradipari; Nathaniel Tucker; Tuo Zhang; Gustavo Cezar; Mahnoosh Alizadeh (CoRR, 2019)

Linear Thompson Sampling Under Unknown Linear Constraints. - Ahmadreza Moradipari; Mahnoosh Alizadeh; Christos Thrampoulidis (ICASSP, 2020)

Stage-wise Conservative Linear Bandits. - Ahmadreza Moradipari; Christos Thrampoulidis; Mahnoosh Alizadeh (NeurIPS, 2020)

Pricing and Routing Mechanisms for Differentiated Services in an Electric Vehicle Public Charging Station Network. - Ahmadreza Moradipari; Mahnoosh Alizadeh (IEEE Trans. Smart Grid, 2020)

Constrained Thompson Sampling for Real-Time Electricity Pricing With Grid Reliability Constraints. - Nathaniel Tucker; Ahmadreza Moradipari; Mahnoosh Alizadeh (IEEE Trans. Smart Grid, 2020)

Safe Linear Bandits. - Ahmadreza Moradipari; Sanae Amani; Mahnoosh Alizadeh; Christos Thrampoulidis (CISS, 2021)

Parameter and Feature Selection in Stochastic Linear Bandits. - Ahmadreza Moradipari; Yasin Abbasi-Yadkori; Mahnoosh Alizadeh; Mohammad Ghavamzadeh (CoRR, 2021)

Safe Linear Thompson Sampling With Side Information. - Ahmadreza Moradipari; Sanae Amani; Mahnoosh Alizadeh; Christos Thrampoulidis (IEEE Trans. Signal Process., 2021)

Collaborative Multi-agent Stochastic Linear Bandits. - Ahmadreza Moradipari; Mohammad Ghavamzadeh; Mahnoosh Alizadeh (ACC, 2022)

Feature and Parameter Selection in Stochastic Linear Bandits. - Ahmadreza Moradipari; Berkay Turan; Yasin Abbasi-Yadkori; Mahnoosh Alizadeh; Mohammad Ghavamzadeh (ICML, 2022)

Multi-Environment Meta-Learning in Stochastic Linear Bandits. - Ahmadreza Moradipari; Mohammad Ghavamzadeh; Taha Rajabzadeh; Christos Thrampoulidis; Mahnoosh Alizadeh (ISIT, 2022)

Predicting Parameters for Modeling Traffic Participants. - Ahmadreza Moradipari; Sangjae Bae; Mahnoosh Alizadeh; Ehsan Moradi-Pari; David Isele (ITSC, 2022)

Learning and Pricing Algorithms for Human-Cyber-Physical Systems - Ahmadreza Moradipari (2022)

Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning. - Ahmadreza Moradipari; Mohammad Pedramfar; Modjtaba Shokrian Zini; Vaneet Aggarwal (NeurIPS, 2023)

Convex Methods for Constrained Linear Bandits. - Amirhossein Afsharrad; Ahmadreza Moradipari; Sanjay Lall (ECC, 2024)

Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation. - Mahyar Abbasian; Taha Rajabzadeh; Ahmadreza Moradipari; Seyed Amir Hossein Aqajari; Hongsheng Lu; Amir M. Rahmani (SAC, 2024)

Cooperative Adaptive Cruise Control Based on Intent Sharing Messages and Reinforcement Learning. - Lahiri Kanipakam; Ahmed Hamdi Sakr; Sergei S. Avedisov; Ahmadreza Moradipari (VNC, 2024)

Benefits of Intent Sharing in Cooperative Platooning. - Ahmadreza Moradipari; Sergei S. Avedisov; Hongsheng Lu (VNC, 2024)

Merits of intent sharing communication for platooning: energy efficiency and road capacity. - Ahmadreza Moradipari; Sergei S. Avedisov (VTC Fall, 2024)

Cooperative Multi-Agent Constrained Stochastic Linear Bandits. - Amirhossein Afsharrad; Parisa Oftadeh; Ahmadreza Moradipari; Sanjay Lall (ACC, 2025)

NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models. - Sung-Yeon Park; Can Cui; Yunsheng Ma; Ahmadreza Moradipari; Rohit Gupta; Kyungtae Han; Ziran Wang (CoRR, 2025)

IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-Tuning. - Dechen Gao; Hang Wang; Hanchu Zhou; Nejib Ammar; Shatadal Mishra; Ahmadreza Moradipari; Iman Soltani 001; Junshan Zhang (CoRR, 2025)

On Learning Closed-Loop Probabilistic Multi-Agent Simulator. - Juanwu Lu; Rohit Gupta; Ahmadreza Moradipari; Kyungtae Han; Ruqi Zhang; Ziran Wang (CoRR, 2025)