There are many different types of reinforcement learning algorithms, but two main categories are “model-based” and “model-free” RL. They are both inspired by our understanding of learning ...

Research team from Nanjing University proposed FOCUS, a causal model-based offline RL algorithm, which uses causal structure ...

a diffusion-large-language-model-based framework that has been improved through the use of reinforcement learning. The group posted a paper describing their work and features of the new framework ...

Reinforcement learning is the process by which a machine learning algorithm ... the model for the current world. Reinforcement learning is accomplished with a feedback loop based on “rewards ...

Q-learning is a model-free, value-based, off-policy algorithm for reinforcement learning that will find the best series of actions based on the current state. The “Q” stands for quality.

A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip ...

DeepSeek challenged this assumption by skipping SFT entirely, opting instead to rely on reinforcement learning ... model, which would become the final DeepSeek-R1 model. This model, again based ...

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic ... This AI-macro model may be enhanced in future research by adding additional variables or sectors to the model or ...