Interesting Engineering on MSN
US researchers build fall-safe biped robots to advance real-world reinforcement learning
Researchers in the US developed bipedal robots with a new design, the HybridLeg platform, ...
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 ...
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 ...
There is something rotten in the state of current reinforcement learning models of conditioning. Most experiments report measures such as the rate of responding given the state of the subject and the ...
Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.
Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...
The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...
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