Abstract: This paper proposes a model for hierarchical combination of deep reinforcement learning (DRL) with quadratic programming for distribution system restoration after major outages. In the ...

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...

Abstract: To coordinate the interests of operator and users in a microgrid under complex and changeable operating conditions, this paper proposes a microgrid scheduling model considering the thermal ...

1) a unified online platform, LLIE-Platform http://mc.nankai.edu.cn/ll/, that covers many popular deep learning-based LLIE methods, of which the results can be ...

DeepReinforce open-sourced Ornith-1.0, a coding model family that writes its own RL scaffolds and matches Claude Opus 4.7 on ...

CarbonSix Inc., a developer of deploy-ready robotic artificial intelligence solutions, announced Wednesday it raised $40 ...

Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Life cycle assessment (LCA) is the gold-standard method for quantifying the environmental footprint of products and processes ...

Claude AI Code and OpenAI Codex excel in different software development workflows. Learn when to use each AI coding agent and how combining Claude AI’s deep reasoning with Codex’s automation ...

When an agent does something, the whole company should learn from it, so that every developer gets access to the shared ...