Browsing by Author "Vassiliades, Vassilis"
Now showing items 1-9 of 9
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Article
Behavioral plasticity through the modulation of switch neurons
Vassiliades, Vassilis; Christodoulou, Chris C. (2016)A central question in artificial intelligence is how to design agents capable of switching between different behaviors in response to environmental changes. Taking inspiration from neuroscience, we address this problem by ...
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Article
A comparative study on filtering protein secondary structure prediction
Kountouris, P.; Agathocleous, Michalis; Promponas, Vasilis J.; Christodoulou, Georgia; Hadjicostas, S.; Vassiliades, Vassilis; Christodoulou, Chris C. (2012)Filtering of Protein Secondary Structure Prediction (PSSP) aims to provide physicochemically realistic results, while it usually improves the predictive performance. We performed a comparative study on this challenging ...
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Article
An extension of a hierarchical reinforcement learning algorithm for multiagent settings
Lambrou, Ioannis; Vassiliades, Vassilis; Christodoulou, Chris C. (2012)This paper compares and investigates single-agent reinforcement learning (RL) algorithms on the simple and an extended taxi problem domain, and multiagent RL algorithms on a multiagent extension of the simple taxi problem ...
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Conference Object
Multiagent reinforcement learning in the iterated prisoner's dilemma: Fast cooperation through evolved payoffs
Vassiliades, Vassilis; Christodoulou, Chris C. (2010)In this paper, we investigate the importance of rewards in Multiagent Reinforcement Learning in the context of the Iterated Prisoner's Dilemma. We use an evolutionary algorithm to evolve valid payoff structures with the ...
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Article
Multiagent reinforcement learning with spiking and non-spiking agents in the iterated prisoner's dilemma
Vassiliades, Vassilis; Cleanthous, A.; Christodoulou, Chris C. (2009)This paper investigates Multiagent Reinforcement Learning (MARL) in a general-sum game where the payoffs' structure is such that the agents are required to exploit each other in a way that benefits all agents. The contradictory ...
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Article
Multiagent reinforcement learning: Spiking and nonspiking agents in the Iterated Prisoner's Dilemma
Vassiliades, Vassilis; Cleanthous, A.; Christodoulou, Chris C. (2011)This paper investigates multiagent reinforcement learning (MARL) in a general-sum game where the payoffs' structure is such that the agents are required to exploit each other in a way that benefits all agents. The contradictory ...
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Article
Protein secondary structure prediction with bidirectional recurrent neural nets: Can weight updating for each residue enhance performance?
Agathocleous, Michalis; Christodoulou, Georgia; Promponas, Vasilis J.; Christodoulou, Chris C.; Vassiliades, Vassilis; Antoniou, Antonis (2010)Successful protein secondary structure prediction is an important step towards modelling protein 3D structure, with several practical applications. Even though in the last four decades several PSSP algorithms have been ...
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Article
Toward nonlinear local reinforcement learning rules through neuroevolution
Vassiliades, Vassilis; Christodoulou, Chris C. (2013)We consider the problem of designing local reinforcement learning rules for artificial neural network (ANN) controllers. Motivated by the universal approximation properties of ANNs, we adopt an ANN representation for the ...
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Article
Training bidirectional recurrent neural network architectures with the scaled conjugate gradient algorithm
Agathocleous, Michalis; Christodoulou, Chris C.; Promponas, Vasilis J.; Kountouris, P.; Vassiliades, Vassilis (2016)Predictions on sequential data, when both the upstream and downstream information is important, is a difficult and challenging task. The Bidirectional Recurrent Neural Network (BRNN) architecture has been designed to deal ...