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, ...

Reinforcement learning with human feedback is critical to not only ensuring the model’s alignment, it’s crucial to the long-term success and sustainability of generative AI as a whole.

Rather than generating potential outcomes based on historical data, deep reinforcement learning teaches AI agents and machines with the time-tested "carrot and stick" method.

Microsoft's Azure Cognitive Services introduced new AI tools today, including Personalizer, which uses reinforcement learning to improve recommendations.

Reinforcement learning techniques could be the keys to integrating robots — who use machine learning to output more than words — into the real world.