Publications

An Integrated SUMO-Gym Framework for Multi-Agent Reinforcement Learning in Electric Fleet Management Problem

Published in IEEE ITSC, 2022

This paper is about desiging and implementing a hierarchical reinforcement learning (HRL) scheme to solve the electric fleet management problem (EFMP), with focus on how EVs learn to manage battery charging, pick up and drop off passengers.

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Published in , 1900

Group Oblivious Message Retrieval

Published in In preparation for submission to Crypto 2023, 2022

This paper is a is to leverage a third-party server to scan through the bullet board on behalf of recipients and retrieve the pertinent messages without knowing who is asking for the messages or which messages it sends back. We further consider the scenario when senders want to address a single message to a group of recipients either pre-formed or chosen on-flight by senders.

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