Ahmadreza Moradipari

46 papers A* 3A 1B 2C 2Misc 3Journal 24Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Cooperative Multi-Agent Constrained Stochastic Linear Bandits. ACC Amirhossein Afsharrad, Parisa Oftadeh, Ahmadreza Moradipari, Sanjay Lall
2025	—	`conf`	DASR: Distributed Adaptive Scene Recognition - A Multi-Agent Cloud-Edge Framework for Language-Guided Scene Detection. EMNLP (Industry Track) Can Cui, Yongkang Liu, Seyhan Ucar, Juntong Peng, Ahmadreza Moradipari, Maryam Khabazi, Ziran Wang
2025	—	`conf`	Enhancing Cooperative Adaptive Cruise Control in Vehicle Platooning Through Intent Sharing and Multi-Agent Reinforcement Learning. VTC2025-Fall Tahmina Khanom Tandra, Sergei S. Avedisov, Ahmadreza Moradipari, Ahmed Hamdi Sakr
2025	J	`jnl`	Formation and Investigation of Cooperative Platooning at the Early Stage of Connected and Automated Vehicles Deployment. CoRR Zeyu Mu, Sergei S. Avedisov, Ahmadreza Moradipari, B. Brian Park
2025	J	`jnl`	IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-Tuning. CoRR Dechen Gao, Hang Wang, Hanchu Zhou, Nejib Ammar, Shatadal Mishra, Ahmadreza Moradipari, Iman Soltani, Junshan Zhang
2025	J	`jnl`	Multi-Agent Stage-wise Conservative Linear Bandits. CoRR Amirhossein Afsharrad, Ahmadreza Moradipari, Sanjay Lall
2025	J	`jnl`	NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models. CoRR Sung-Yeon Park, Can Cui, Yunsheng Ma, Ahmadreza Moradipari, Rohit Gupta, Kyungtae Han, Ziran Wang
2025	A	`conf`	On Learning Closed-Loop Probabilistic Multi-Agent Simulator. IROS Juanwu Lu, Rohit Gupta, Ahmadreza Moradipari, Kyungtae Han, Ruqi Zhang, Ziran Wang
2025	J	`jnl`	On Learning Closed-Loop Probabilistic Multi-Agent Simulator. CoRR Juanwu Lu, Rohit Gupta, Ahmadreza Moradipari, Kyungtae Han, Ruqi Zhang, Ziran Wang
2025	B	`conf`	Poster: Connected Vehicle Surveillance. MobiHoc Can Cui, Seyhan Ucar, Yongkang Liu, Ahmadreza Moradipari, Akin Sisbot, Kentaro Oguchi
2025	—	`conf`	Real-Time Gap and Acceleration Adaptation in Adaptive Cruise Control Based on Driver Overrides. ITSC Yitao Chen, Kyungtae Han, Ahmadreza Moradipari, Sergei S. Avedisov, Shatadal Mishra, Rohit Gupta, Onur Altintas
2025	J	`jnl`	SIMSplat: Predictive Driving Scene Editing with Language-aligned 4D Gaussian Splatting. CoRR Sung-Yeon Park, Adam Lee, Juanwu Lu, Can Cui, Luyang Jiang, Rohit Gupta, Kyungtae Han, Ahmadreza Moradipari, Ziran Wang
2025	J	`jnl`	Transport Based Mean Flows for Generative Modeling. CoRR Elaheh Akbari, Ping He, Ahmadreza Moradipari, Yikun Bai, Soheil Kolouri
2024	—	`conf`	Benefits of Intent Sharing in Cooperative Platooning. VNC Ahmadreza Moradipari, Sergei S. Avedisov, Hongsheng Lu
2024	Misc	`conf`	Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation. SAC Mahyar Abbasian, Taha Rajabzadeh, Ahmadreza Moradipari, Seyed Amir Hossein Aqajari, Hongsheng Lu, Amir M. Rahmani
2024	—	`conf`	Convex Methods for Constrained Linear Bandits. ECC Amirhossein Afsharrad, Ahmadreza Moradipari, Sanjay Lall
2024	—	`conf`	Cooperative Adaptive Cruise Control Based on Intent Sharing Messages and Reinforcement Learning. VNC Lahiri Kanipakam, Ahmed Hamdi Sakr, Sergei S. Avedisov, Ahmadreza Moradipari
2024	J	`jnl`	Cooperative Multi-Agent Constrained Stochastic Linear Bandits. CoRR Amirhossein Afsharrad, Parisa Oftadeh, Ahmadreza Moradipari, Sanjay Lall
2024	—	`conf`	Merits of intent sharing communication for platooning: energy efficiency and road capacity. VTC Fall Ahmadreza Moradipari, Sergei S. Avedisov
2023	J	`jnl`	Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation. CoRR Mahyar Abbasian, Taha Rajabzadeh, Ahmadreza Moradipari, Seyed Amir Hossein Aqajari, Hongsheng Lu, Amir M. Rahmani
2023	J	`jnl`	Convex Methods for Constrained Linear Bandits. CoRR Amirhossein Afsharrad, Ahmadreza Moradipari, Sanjay Lall
2023	A*	`conf`	Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning. NeurIPS Ahmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini, Vaneet Aggarwal
2023	J	`jnl`	Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning. CoRR Ahmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini, Vaneet Aggarwal
2023	J	`jnl`	Predicting Parameters for Modeling Traffic Participants. CoRR Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi-Pari, David Isele
2022	C	`conf`	Collaborative Multi-agent Stochastic Linear Bandits. ACC Ahmadreza Moradipari, Mohammad Ghavamzadeh, Mahnoosh Alizadeh
2022	J	`jnl`	Collaborative Multi-agent Stochastic Linear Bandits. CoRR Ahmadreza Moradipari, Mohammad Ghavamzadeh, Mahnoosh Alizadeh
2022	A*	`conf`	Feature and Parameter Selection in Stochastic Linear Bandits. ICML Ahmadreza Moradipari, Berkay Turan, Yasin Abbasi-Yadkori, Mahnoosh Alizadeh, Mohammad Ghavamzadeh
2022	—	`—`	Learning and Pricing Algorithms for Human-Cyber-Physical Systems Ahmadreza Moradipari
2022	B	`conf`	Multi-Environment Meta-Learning in Stochastic Linear Bandits. ISIT Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh, Christos Thrampoulidis, Mahnoosh Alizadeh
2022	J	`jnl`	Multi-Environment Meta-Learning in Stochastic Linear Bandits. CoRR Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh, Christos Thrampoulidis, Mahnoosh Alizadeh
2022	—	`conf`	Predicting Parameters for Modeling Traffic Participants. ITSC Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi-Pari, David Isele
2021	J	`jnl`	Parameter and Feature Selection in Stochastic Linear Bandits. CoRR Ahmadreza Moradipari, Yasin Abbasi-Yadkori, Mahnoosh Alizadeh, Mohammad Ghavamzadeh
2021	Misc	`conf`	Safe Linear Bandits. CISS Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
2021	J	`jnl`	Safe Linear Thompson Sampling With Side Information. IEEE Trans. Signal Process. Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
2020	J	`jnl`	Constrained Thompson Sampling for Real-Time Electricity Pricing With Grid Reliability Constraints. IEEE Trans. Smart Grid Nathaniel Tucker, Ahmadreza Moradipari, Mahnoosh Alizadeh
2020	Misc	`conf`	Linear Thompson Sampling Under Unknown Linear Constraints. ICASSP Ahmadreza Moradipari, Mahnoosh Alizadeh, Christos Thrampoulidis
2020	J	`jnl`	Pricing and Routing Mechanisms for Differentiated Services in an Electric Vehicle Public Charging Station Network. IEEE Trans. Smart Grid Ahmadreza Moradipari, Mahnoosh Alizadeh
2020	A*	`conf`	Stage-wise Conservative Linear Bandits. NeurIPS Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh
2020	J	`jnl`	Stage-wise Conservative Linear Bandits. CoRR Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh
2019	J	`jnl`	Constrained Thompson Sampling for Real-Time Electricity Pricing with Grid Reliability Constraints. CoRR Nathaniel Tucker, Ahmadreza Moradipari, Mahnoosh Alizadeh
2019	J	`jnl`	Mobility-Aware Smart Charging of Electric Bus Fleets. CoRR Ahmadreza Moradipari, Nathaniel Tucker, Tuo Zhang, Gustavo Cezar, Mahnoosh Alizadeh
2019	J	`jnl`	Pricing and Routing Mechanisms for Differentiated Services in an Electric Vehicle Public Charging Station Network. CoRR Ahmadreza Moradipari, Mahnoosh Alizadeh
2019	J	`jnl`	Safe Linear Thompson Sampling. CoRR Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis
2018	J	`jnl`	Electric Vehicle Charging Station Network Equilibrium Models and Pricing Schemes. CoRR Ahmadreza Moradipari, Mahnoosh Alizadeh
2018	—	`conf`	Learning to Dynamically Price Electricity Demand Based on Multi-Armed Bandits. GlobalSIP Ahmadreza Moradipari, Cody Silva, Mahnoosh Alizadeh
2018	—	`conf`	Pricing Differentiated Services in an Electric Vehicle Public Charging Station Network. CDC Ahmadreza Moradipari, Mahnoosh Alizadeh