Deep Reinforcement Learning, Multi-agent Systems, Neural Networks, Machine Learning
Theocharis Kravaris is a PhD candidate, researching Multi-agent Deep Reinforcement Learning, at the Department of Digital Systems in the University of Piraeus, under the supervision of Prof. George Vouros. He graduated (2017) as a MSc. student at the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens with a Specialization of Information and Data Management, having received his bachelor’s degree (2015) in the same department, at the Track of Computer Systems and Applications. He has served as teaching assistant on Artificial Intelligence (2016, 2017, 2018), Advanced Artificial Intelligence (2018), Intelligent Agent Systems (2018) and Data Structures (2016). He became a member of the University of Piraeus’s AI Lab (2017) and participated in the DART project (SESAR project), starting with his Post-grad thesis, titled Collaborative Reinforcement Learning for Resolving Hotspots in the Air Traffic Management Domain, until the end of the project. He is working on the Engage Catalyst project since June 2019
arXiv, cs.MA , 2019.
Multiagent Reinforcement Learning Methods to Resolve Demand Capacity Balance Problems Proceeding
Multiagent Reinforcement Learning Methods for Resolving Demand – Capacity Imbalances Conference
DASC 2018, London, UK, 2018.
Learning Policies for Resolving Demand-Capacity Imbalances during Pre-tactical Air Traffic Management Proceeding