Reinforcement learning is one of the exciting branches of artificial intelligence. It plays an important role in game-playing AI systems, modern robots, chip-design systems, and other applications.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Deep reinforcement learning — an AI training technique that employs ...

These days, artificial intelligence developers, investors and founders are all obsessed with “reinforcement learning,” a ...

“We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT ...

However, behind this competition, a huge bottleneck quietly limits the speed of all players—compared to pre-training and inference, RL training resembles an inefficient 'workshop',requiring enormous ...

Remarkable Performance Now, let’s look at a jaw-dropping fact: Ring-flash-2.0, with only 6.1B active parameters, can rival a 40B Dense model. This performance is like a small se ...

Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent can learn through trial and error to make optimal decisions in its ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) ...