Explore the hidden trade-offs of reinforcement learning in AI and why base models might hold the key to true intelligence.

Read more about Deep reinforcement learning could redefine insulin delivery for diabetes patients on Devdiscourse ...

Let’s move on to temporal difference learning (TD learning), which is a subset of reinforcement learning that was the focus ...

Computing pioneer Alan Turing suggested training machines with rewards and punishments. Two computer scientists put the idea into practice in the 1980s and set the stage for the likes of ChatGPT.

Turing Award recipients Richard Sutton and Andrew Barto believe reinforcement learning will play a role in artificial general ...

Abstract Investigating flat minima on loss surfaces in parameter space is well-documented in the supervised learning context, highlighting its ...

By employing multimodal data fusion, merging traffic volumes, weather patterns, and vehicle telemetry, the system boosts the ...

Computer scientist David Silver was a key developer behind AlphaGo, the pivotal Go-playing program that defeated world ...

There has been much talk about how AI could recursively self-improve in the coming years, but it appears that Google ...

Discover how Deepseek R2 is redefining AI with self-learning and advanced evaluation systems like GRM. The future of AI ...