The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the computational part of the ability to ...

David Silver of Google DeepMind thinks AIs that ‘learn by experience’ are the future of AI – but maybe not in particle ...

Thus, Cursor used policy gradient methods, a reinforcement learning (RL) approach, to solve the problem. The model receives a ...

These days, artificial intelligence developers, investors and founders are all obsessed with “reinforcement learning,” a ...

MMLU-Pro holds steady at 85.0, AIME 2025 slightly improves to 89.3, while GPQA-Diamond dips from 80.7 to 79.9. Coding and agent benchmarks tell a similar story, with Codeforces ratings rising from ...

Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent can learn through trial and error to make optimal decisions in its ...

At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice and artificial intelligence systems each develop cooperation: working ...

LIVINGSTON, N.J. & BELLEVUE, Wash., September 03, 2025--(BUSINESS WIRE)--CoreWeave, Inc. (NASDAQ: CRWV), the AI Hyperscaler™, today announced a definitive agreement to acquire OpenPipe Inc, a leading ...

Jon Hyman, co-founder and CTO at Braze, explains how AI agents will increase customer spending and boost loyalty.

Researchers at the National Institute of Technology have developed an AI model to enhance vehicular communication in VANETs.