The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used ...

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, ...

The "reward-is-enough" hypothesis suggests that reinforcement learning alone could lead to AGI.

DeepSeek-R1’s Monday release has sent shockwaves through the AI community, disrupting assumptions about what’s required to achieve cutting-edge AI performance. This story focuses on exactly ...

Deep Think model can be used for iterative development and design, scientific and mathematical discovery, and algorithmic ...

Deep Think builds on the version of Google’s Gemini 2.5 model that recently clinched a gold medal standard at the 2025 International Mathematical Olympiad (IMO).