Alvaro Ovalle
Alvaro is interested in the teleonomic and teleological principles of living beings and the prospect of babysitting artificial agents that can develop their own values, drives, goals and purpose in life just like those in nature. Before coming to Queen Mary, Alvaro spent some time in Sussex learning about evolutionary systems and in the University of Edinburgh studying neuroscience and machine learning.
GAIG Publications
2023
2022
2021
2020
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IWAI
2020
Modulation of viability signals for self-regulatory control
Ovalle, Alvaro and Lucas, Simon M,
in International Workshop on Active Inference,
pp. 101-113,
2020.
pubs-2020
ieee-cog
reinforcement-learning
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IEEE COG
2020
Bootstrapped model learning and error correction for planning with uncertainty in model-based RL
Ovalle, Alvaro and Lucas, Simon M,
in IEEE Conference on Games (CoG),
pp. 495-502,
2020.
pubs-2020
ieee-cog
reinforcement-learning
rhea
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