435 citations · 840 across the 65 of their papers we have counts for
6 papers · 1 filter
Pseudorehearsal in actor-critic agents with neural network function approximation
Vladimir Marochko, Leonard Johard, Manuel Mazzara +1
Catastrophic forgetting has a significant negative impact in reinforcement learning. The purpose of this study is to investigate how pseudorehearsal can change performance of an ac…
Pseudorehearsal in actor-critic agents
Marochko Vladimir, Leonard Johard, Manuel Mazzara
Catastrophic forgetting has a serious impact in reinforcement learning, as the data distribution is generally sparse and non-stationary over time. The purpose of this study is to i…
Pseudorehearsal in value function approximation
Vladimir Marochko, Leonard Johard, Manuel Mazzara
Catastrophic forgetting is of special importance in reinforcement learning, as the data distribution is generally non-stationary over time. We study and compare several pseudorehea…
Neuromorphic Robot Dream
Alexander Tchitchigin, Max Talanov, Larisa Safina +1
In this paper we present the next step in our approach to neurobiologically plausible implementation of emotional reactions and behaviors for real-time autonomous robotic systems.…
Towards Anthropo-inspired Computational Systems: the Model
Michael W. Bridges, Salvatore Distefano, Manuel Mazzara +3
This paper proposes a model which aim is providing a more coherent framework for agents design. We identify three closely related anthropo-centered domains working on separate func…
A Cognitive Architecture for the Implementation of Emotions in Computing Systems
Jordi Vallverdú, Max Talanov, Salvatore Distefano +3
In this paper we present a new neurobiologically-inspired affective cognitive architecture: NEUCOGAR (NEUromodulating COGnitive ARchitecture). The objective of NEUCOGAR is the iden…