Reinforcement learning (RL) and latent world models are emerging as promising tools for modeling complex atomic level changes ...

Ever since researchers began noticing a slowdown in improvements to large language models using traditional training methods, ...

“You don’t need to do that with this model, because we did the reinforcement learning with human feedback (RLHF) stage with the community and our partners for the 0.9 release,” he explained.

To fix this, the company built on the work done for R1-Zero, using a multi-stage approach combining both supervised learning and reinforcement learning, and thus came up with the enhanced R1 model.

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, ...

Bansal has worked at OpenAI since 2022 and was a key player in kickstarting the company’s work on reinforcement learning alongside co-founder Ilya Sutskever. He is listed as a foundational ...