Vassilis Vassiliades

Orcid: 0000-0002-1336-5629

According to our database1, Vassilis Vassiliades authored at least 31 papers between 2009 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
GREIL-Crowds: Crowd Simulation with Deep Reinforcement Learning and Examples.
ACM Trans. Graph., August, 2023

Exploring Model Inversion Attacks in the Black-box Setting.
Proc. Priv. Enhancing Technol., January, 2023

Towards Continual Reinforcement Learning for Quadruped Robots.
Proceedings of the 3rd International Conference on Interactive Media, 2023

Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Deep reinforcement learning for improving competitive cycling performance.
Expert Syst. Appl., 2022

2021
DNS Tunneling Detection by Cache-Property-Aware Features.
IEEE Trans. Netw. Serv. Manag., 2021

Continual Learning on the Edge with TensorFlow Lite.
CoRR, 2021

HoneyGen: Generating Honeywords Using Representation Learning.
Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

2020
A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials.
IEEE Trans. Robotics, 2020

Quality-Diversity Optimization: a novel branch of stochastic optimization.
CoRR, 2020

The named data networking flow filter: Towards improved security over information leakage attacks.
Comput. Networks, 2020

Cache-Property-Aware Features for DNS Tunneling Detection.
Proceedings of the 23rd Conference on Innovation in Clouds, 2020

2018
Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm.
IEEE Trans. Evol. Comput., 2018

Reset-free Trial-and-Error Learning for Robot Damage Recovery.
Robotics Auton. Syst., 2018

Name Filter: A Countermeasure Against Information Leakage Attacks in Named Data Networking.
IEEE Access, 2018

Discovering the elite hypervolume by leveraging interspecies correlation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Black-box data-efficient policy search for robotics.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

A comparison of illumination algorithms in unbounded spaces.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Comparing multimodal optimization and illumination.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Behavioral plasticity through the modulation of switch neurons.
Neural Networks, 2016

Scaling Up MAP-Elites Using Centroidal Voronoi Tessellations.
CoRR, 2016

Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors.
CoRR, 2016

Reset-free Trial-and-Error Learning for Data-Efficient Robot Damage Recovery.
CoRR, 2016

Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2013
Toward Nonlinear Local Reinforcement Learning Rules Through Neuroevolution.
Neural Comput., 2013

2012
A Comparative Study on Filtering Protein Secondary Structure Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

2011
Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma.
IEEE Trans. Neural Networks, 2011

An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent Settings.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

2010
Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs.
Proceedings of the International Joint Conference on Neural Networks, 2010

Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance?
Proceedings of the Artificial Intelligence Applications and Innovations, 2010

2009
Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner's Dilemma.
Proceedings of the Artificial Neural Networks, 2009


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