In 2025, Agent is undoubtedly a buzzword in the AI community. It is widely believed that truly useful Agents must learn to use mobile phones and computers, and interact with GUI (Graphical User ...
DeepSeek-R1 uses reinforcement learning to teach reasoning, showing potential for AI to develop intelligence without human ...
The "inference capability" of large models has always been the core metric distinguishing "text generators" from "intelligent agents," and the key breakthrough of DeepSeek-R1 lies here. Its paper ...
Thanks to everyone who attended our AI Agenda Live event in New York yesterday! It was incredible to get to meet so many ...
Cursor stated in its blog that achieving a high acceptance rate involves not only making the model smarter but also understanding when to provide suggestions and when not to. To tackle this challenge, ...
A (NRL) research team successfully conducted the first reinforcement learning (RL) control of a free-flyer in space on May 27 ...
Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the computational part of the ability to ...
“We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT ...