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 ...

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

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

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 ...

Researchers from Stanford University and Google DeepMind have unveiled Step-Wise Reinforcement Learning (SWiRL), a technique designed to enhance the ability of large language models (LLMs) to tackle ...

As Artificial Intelligence revolutionizes life in 2025, staying informed about its rapid evolution is crucial. Whether anyone ...

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

Third-year doctoral student, Jiaheng Hu is one of two recipients selected for a Ph.D. fellowship with Two Sigma, a New ...