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WorldCist'20 - 8th World Conference on Information Systems and Technologies

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From Reinforcement Learning towards Artificial General Intelligence

The present work surveys research that integrates successfully a number of complementary fields in Artificial Intelligence. Starting from integrations in Reinforcement Learning: Deep Reinforcement Learning and Relational Reinforcement Learning, we then present Neural-Symbolic Learning and Reasoning since it is applied to Deep Reinforcement Learning. Finally, we present integrations in Deep Reinforcement Learning, such as, Relational Deep Reinforcement Learning. We propose that this road is breaking through barriers in Reinforcement Learning and making us closer to Artificial General Intelligence, and we share views about the current challenges to get us further towards this goal.

Filipe Marinho da Rocha
Faculdade de Ciências da Universidade do Porto
Portugal

Luís Paulo Reis
Faculdade de Engenharia da Universidade do Porto
Portugal

Vítor Santos Costa
Faculdade de Ciências da Universidade do Porto
Portugal

 


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