Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
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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, to advance reinforcement learning.
Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...
Among those interviewed, one RL environment founder said, “I’ve seen $200 to $2,000 mostly. $20k per task would be rare but ...
Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
The most celebrated early successes of artificial intelligence were computers beating human champions in games such as chess and Go. Today we are all playing games against AI. The price ...
GrazeMate utilizes proprietary reinforcement learning models that enable drones to autonomously respond to cattle behavior in ...
A Tennessee bill aims to prevent artificial intelligence from being used for therapy and psychiatric diagnosis.
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial intelligence (AI) to address a ...
Spy shots reveal a Cadillac XT5 PHEV prototype with lidar in China, featuring Momenta's advanced self-driving software and ...
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