Brain-inspired AI: Human brain separates goals and uncertainty to enable adaptive decision-making

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...
EurekAlert!

A new AI-based attack framework advances multi-agent reinforcement learning by amplifying vulnerability and bypassing defenses

Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...
EurekAlert!

The investigation of reinforcement learning-based end-to-end decision-making algorithms for autonomous driving on the road with consecutive sharp turns (IMAGE)

News organizations may use or redistribute this image, with proper attribution, as part of news coverage of this paper only.
Devdiscourse

AI trading systems mimicking human bias show higher risk

Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...
Forbes

The Flawed Assumption Behind AI Agents’ Decision-Making

Many organizations implementing AI agents tend to focus too narrowly on a single decision-making model, falling into the trap of assuming a one-size-fits-all decision-making framework, one that ...