Abstract: Imitation learning is a widely-used paradigm for decision making that learns from expert demonstrations. Existing imitation algorithms often require multiple interactions between the agent ...
A new McGill-led study reveals that digital brain exercises can rejuvenate aging brain systems responsible for learning and memory. Older adults using BrainHQ for 10 weeks showed restored cholinergic ...
A revolutionary treatment for autoimmune diseases could be on the horizon. Twenty-four million to 50 million Americans have an autoimmune disease, in which the body’s immune system mistakenly attacks ...
Abstract: Inverse reinforcement learning optimal control is under the framework of learner–expert, the learner system can learn expert system's trajectory and optimal control policy via a ...
ABSTRACT: The integration of artificial intelligence into the development and production of mechatronic products offers a substantial opportunity to enhance efficiency, adaptability, and system ...
Designing antibodies with high specificity and binding affinity to diverse therapeutic antigens remains a significant challenge in drug development. Current methods struggle to effectively generate ...
(17−19)AI refers to the study of computer programs or systems that can mimic human cognitive functions in data analysis, decision-making, and problem-solving in order to accomplish tasks, such as ...
This study provides evidence that cerebellar projections to the thalamus are required for learning and execution of motor skills in the accelerating rotarod task. This important study adds to a ...
Large language models (LLMs) have gained significant attention in the field of artificial intelligence, primarily due to their ability to imitate human knowledge through extensive datasets. The ...
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