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

Reinforcement learning was perhaps most famously used by Google DeepMind in 2016 to build AlphaGo, a program that learned for itself how to play the incredibly complex and subtle board game Go to ...

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.

“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.

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 ...