Let’s move on to temporal difference learning (TD learning), which is a subset of reinforcement learning that was the focus ...

What is "Reinforcement Learning"? Reinforcement Learning (RL) is a type of machine learning where a model learns to make ... Data inefficiency: RL algorithms often require a large number of ...

Read more about Deep reinforcement learning could redefine insulin delivery for diabetes patients on Devdiscourse ...

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator ... by adding additional variables or sectors to the model or by incorporating different DRL algorithms.

Researchers from UCLA and Meta AI have introduced d1, a novel framework using reinforcement learning (RL) to significantly enhance the reasoning capabilities of diffusion-based large language models ...

A team of AI researchers at the University of California, Los Angeles, working with a colleague from Meta AI, has introduced d1, a diffusion-large-language-model-based framework that has been improved ...

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial ...

Meet Adam, a cutting-edge humanoid robot with a proprietary reinforcement learning (RL) algorithm.Refined through ...

More information: Zhengmao Zhu et al, Offline model-based reinforcement learning with causal structured world models, Frontiers of Computer Science (2024). DOI: 10.1007/s11704-024-3946-y ...

DeepCoder-14B competes with frontier models like o3 and o1—and the weights, code, and optimization platform are open source.