Articles with "curiosity driven" as a keyword



Contributions of expected learning progress and perceptual novelty to curiosity-driven exploration

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Published in 2022 at "Cognition"

DOI: 10.1016/j.cognition.2022.105119

Abstract: Exploration is curiosity-driven when it relies on the intrinsic motivation to know rather than on extrinsic rewards. Recent evidence shows that artificial agents perform better on a variety of tasks when their learning is curiosity-driven,… read more here.

Keywords: curiosity; curiosity driven; exploration; learning progress ... See more keywords

Accelerating Reinforcement Learning-Based CCSL Specification Synthesis Using Curiosity-Driven Exploration

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Published in 2023 at "IEEE Transactions on Computers"

DOI: 10.1109/tc.2022.3197956

Abstract: The Clock Constraint Specification Language (CCSL) has been widely acknowledged as a promising system-level specification for the modeling and analysis of timing behaviors of real-time and embedded systems. However, along with the increasing complexity of… read more here.

Keywords: driven exploration; curiosity driven; synthesis; ccsl ... See more keywords

Curiosity-Driven Class-Incremental Learning via Adaptive Sample Selection

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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3196092

Abstract: Modern artificial intelligence systems require class-incremental learning while suffering from catastrophic forgetting in many real-world applications. Due to the missing knowledge of past data, performance substantially degrades. Recent methods often used knowledge distillation and bias… read more here.

Keywords: sample; curiosity driven; incremental learning; catastrophic forgetting ... See more keywords

Curiosity-Driven Camouflaged Object Segmentation

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Published in 2024 at "Applied Sciences"

DOI: 10.3390/app15010173

Abstract: Camouflaged object segmentation refers to the task of accurately extracting objects that are seamlessly integrated within their surrounding environment. Existing deep-learning methods frequently encounter challenges in accurately segmenting camouflaged objects, particularly in capturing their complete… read more here.

Keywords: curiosity; segmentation; camouflaged object; object segmentation ... See more keywords