IEEE

Deep Reinforcement Learning-Based Anti-Jamming Algorithm Using Dual Action Network

Abstract: Due to the open nature of wireless communication, malicious electromagnetic jamming has long been a severe threat to the establishment and stability of communication links. To address this ...
IEEE

Reinforcement learning-based scheduling of multi-battery energy storage system

Abstract: In this paper, a reinforcement learning-based multi-battery energy storage system (MBESS) scheduling policy is proposed to minimize the consumers' electricity cost. The MBESS scheduling ...
Frontiers

A prioritized soft actor-critic algorithm for safe and efficient power distribution network ...

A value of 5.0 strikes an effective balance, leading to the near-optimal power loss of 0.1410 MW while ensuring 100% safety adherence. Lower values, while achieving slightly lower power loss, ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
GitHub

ai-agriculture-circuits-and-systems/ai_agriculture_news

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...
Frontiers

Research on embodied agent multimodal perception and real-time path planning algorithms for ...

Embodied Intelligence: Bridging Neuroscience, AI and Soft Robotics for Adaptive Physical AI ...