Ahmadreza Moradipari

Orcid: 0000-0002-0197-8639

According to our database1, Ahmadreza Moradipari authored at least 24 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Cooperative Multi-Agent Constrained Stochastic Linear Bandits.
CoRR, 2024

Merits of intent sharing communication for platooning: energy efficiency and road capacity.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Benefits of Intent Sharing in Cooperative Platooning.
Proceedings of the IEEE Vehicular Networking Conference, 2024

Cooperative Adaptive Cruise Control Based on Intent Sharing Messages and Reinforcement Learning.
Proceedings of the IEEE Vehicular Networking Conference, 2024

Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Convex Methods for Constrained Linear Bandits.
Proceedings of the European Control Conference, 2024

2023
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Learning and Pricing Algorithms for Human-Cyber-Physical Systems
PhD thesis, 2022

Predicting Parameters for Modeling Traffic Participants.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Multi-Environment Meta-Learning in Stochastic Linear Bandits.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Feature and Parameter Selection in Stochastic Linear Bandits.
Proceedings of the International Conference on Machine Learning, 2022

Collaborative Multi-agent Stochastic Linear Bandits.
Proceedings of the American Control Conference, 2022

2021
Safe Linear Thompson Sampling With Side Information.
IEEE Trans. Signal Process., 2021

Parameter and Feature Selection in Stochastic Linear Bandits.
CoRR, 2021

Safe Linear Bandits.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020
Constrained Thompson Sampling for Real-Time Electricity Pricing With Grid Reliability Constraints.
IEEE Trans. Smart Grid, 2020

Pricing and Routing Mechanisms for Differentiated Services in an Electric Vehicle Public Charging Station Network.
IEEE Trans. Smart Grid, 2020

Stage-wise Conservative Linear Bandits.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Linear Thompson Sampling Under Unknown Linear Constraints.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Mobility-Aware Smart Charging of Electric Bus Fleets.
CoRR, 2019

Safe Linear Thompson Sampling.
CoRR, 2019

2018
Electric Vehicle Charging Station Network Equilibrium Models and Pricing Schemes.
CoRR, 2018

Learning to Dynamically Price Electricity Demand Based on Multi-Armed Bandits.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Pricing Differentiated Services in an Electric Vehicle Public Charging Station Network.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018


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