A. Fachantidis

Learning to Teach Reinforcement Learning Agents pdf

Ioannis P. Vlahavas, Matthew E. Taylor, Anestis Fachantidis, 2017, Mach. Learn. Knowl. Extr..

Learning to play Monopoly : A Reinforcement Learning approach

I. Vlahavas, A. Fachantidis, Panagiotis Bailis, 2014 .

Information System for Symptom Diagnosis and Improvement of Attention Deficit Hyperactivity Disorder: Protocol for a Nonrandomized Controlled Pilot Study

I. Vlahavas, A. Fachantidis, N. Pandria, 2022, JMIR Research Protocols.

Deep Reinforcement Learning: A State-of-the-Art Walkthrough

Ioannis P. Vlahavas, Anestis Fachantidis, Aristotelis Lazaridis, 2020, J. Artif. Intell. Res..

Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform

Angelo Cangelosi, Ioannis P. Vlahavas, Anestis Fachantidis, 2013, 2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB).

Reinforcement learning agents providing advice in complex video games

Ioannis P. Vlahavas, Matthew E. Taylor, Anestis Fachantidis, 2014, Connect. Sci..

A prediction model of passenger demand using AVL and APC data from a bus fleet

Grigorios Tsoumakas, Ioannis P. Vlahavas, Anestis Fachantidis, 2015, Panhellenic Conference on Informatics.

Knowledge transfer in reinforcement learning

Anestis Fachantidis, Ανέστης Φαχαντίδης, A. Fachantidis, 2016 .

Transfer Learning via Multiple Inter-task Mappings

Ioannis P. Vlahavas, Matthew E. Taylor, Ioannis Partalas, 2011, EWRL.