An AI-informed model of human reward-based learning: Hybrid approach could aid studies of mood disorders

People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a ...
Electronic Design

“Reinforcement Learning” Fuels the Rise of Adaptive Controllers

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
Medical Xpress

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 ...

Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
insideHPC

Reinforcement Learning: Balancing Exploration and Exploitation

For those unfamiliar, Reinforcement Learning (RL) is the science of decision making, specifically referring to how certain behaviors are encouraged, and others discouraged. It is one of three ...
News Medical

Reinforcement learning improves performance of AI-based skin cancer diagnosis

Artificial intelligence (AI) is already being used to diagnose skin cancer, but it cannot (yet) keep pace with the complex decision-making of doctors in practice. An international research team led by ...
Devdiscourse

Adaptive AI system enhances zero-day attack resilience in blockchain networks

A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.