Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...
This work, combining behavioural genetics and calcium imaging, provides evidence for a form of learning in Drosophila that derives solely from direct or (optogenetically induced) phantom experience of ...
Here is your 2025 hard rock + metal album release calendar and all of this week's newest albums! Each week is loaded with new rock and metal releases and keeping track of it all can be pretty ...
Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter
Abstract: We study the task of language-conditioned pick and place in clutter, where a robot should grasp a target object in open clutter and move it to a specified place. Some approaches learn end-to ...
Implemented diffusion models are in the k_diffusion/models folder. The models are trained with train_ano*.py scripts. The autoencoder model is re-implemented from the descriptions of the paper ...
RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
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