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title
Curiosity-Driven Explorationvia Latent Bayesian Surprise
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[“Pietro Mazzaglia, Ozan Catal, Tim Verbelen, Bart Dhoedt”, “IDLab, Ghent University”, “Accepted to AAAI-22 (oral)”, “Presented at Self-supervision for Reinforcement Learning workshop (ICLR 2021)”]
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Curiosity-Driven Explorationvia Latent Bayesian Surprise
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2026-02-16 13:29:04
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Curiosity-Driven Exploration via Latent Bayesian Surprise Curiosity-Driven Explorationvia Latent Bayesian Surprise | [“Pietro Mazzaglia, Ozan Catal, Tim Verbelen, Bart Dhoedt”, “IDLab, Ghent University”, “Accepted to AAAI-22 (oral)”, “Presented at Self-supervision for Reinforcement Learning workshop (ICLR 2021)”] Curiosity-Driven Exploration via Latent Bayesian Surprise Pietro Mazzaglia, Ozan Catal, Tim Verbelen, Bart Dhoedt IDLab, Ghent University Accepted to AAAI-22 (oral) Presented at Self-supervision for Reinforcement Learning workshop (ICLR 2021) Paper Code NEW Code (ICML 23 work) Abstract The human intrinsic desire to pursue knowledge, also known as curiosity, is considered essential in the process of skill acquisition. With the aid of artificial curiosity, we could equip current techniques for control, such as Reinforcement Learning, with more natural exploration capabilities. A promising approach in this respect has consisted of using Bayesian surprise on model ...
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