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, ...

This milestone underscored the power of reinforcement learning to unlock advanced reasoning capabilities without relying on traditional training methods like SFT. Source: DeepSeek-R1 paper.

In this video, we break down the core training theory behind DeepSeek R1 — including General Reinforced Preference ...

Deep tech Reinforcement learning: How rewards create intelligent machines Does AI want a cookie? March 2, 2022 - 4:11 pm Image by: RODNAE Productions (edited) ...

More recently, reinforcement learning has been crucial to guiding the output of large language models (LLMs) and producing extraordinarily capable chatbot programs.