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Found 3 papers, 1 papers with code
Categorizing the Visual Environment and Analyzing the Visual Attention of Dogs
The MaskRCNN, with eye tracking apparatus, serves as an end to end model for automatically classifying the visual fixations of dogs.
Tiered Reward Functions: Specifying and Fast Learning of Desired Behavior
Reinforcement-learning agents seek to maximize a reward signal through environmental interactions.
CAPE: Corrective Actions from Precondition Errors using Large Language Models
Our improvements transfer to a Boston Dynamics Spot robot initialized with a set of skills (specified in language) and associated preconditions, where CAPE improves the correctness metric of the executed task plans by 76. 49% compared to SayCan.
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