In just three months, the crew of three young scientists overcame a swarm of challenges to achieve this groundbreaking advancement in robotic autonomy and space operations. “The APIARY team’s ...
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New look at dopamine signaling suggests neuroscientists' model of reinforcement learning may need to be revised
Dopamine is a powerful signal in the brain, influencing our moods, motivations, movements, and more. The neurotransmitter is crucial for reward-based learning, a function that may be disrupted in a ...
Researchers have developed 'Dynamic Prospect Theory,' which integrates the most popular model in behavioral economics -- prospect theory and a well-established model from neuroscience -- reinforcement ...
Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
Deep Reinforcement Learning (DRL) is a subfield of machine learning that combines neural networks with reinforcement learning techniques to make decisions in complex environments. It has been applied ...
Researchers at KAIST have discovered that the unique way the frontal lobe processes information holds the key to creating 'artificial intelligence (AI) that is flexible and stable, like the human brai ...
Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...
This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Artificial intelligence has proven that complicated board and ...
Inspired by the mastery of artificial intelligence (AI) over games like Go and Super Mario, scientists have trained an AI agent - an autonomous computational program that observes and acts - how to ...
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