This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...

Oracle to lead US TikTok operations, controlling algorithm and user data. US-based entity to hold 80% of TikTok US, ByteDance retains minority. TikTok’s US move reflects broader US-China tech and ...

This GitHub repository contains the code, data, and figures for the paper FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models. Also includes ...

When we agree on some guidelines, I think we should document them in the readme or in the new sphinx documentation. I just compiled a preliminary API documentation and noticed that we are pretty ...

Abstract: In this paper, the adaptive access control algorithm of UAV front-end sensing system based on reinforcement learning (RL) is studied, aiming at improving UAV's autonomous flight ability and ...

Reinforcement learning (RL) trains agents to make sequential decisions by maximizing cumulative rewards. It has diverse applications, including robotics, gaming, and automation, where agents interact ...

Abstract: The intelligent antijamming algorithm based on deep reinforcement learning (DRL) has become a prominent focus in communication antijamming research. However, while DRL aims to accurately fit ...