Policy Consensus-Based Distributed Deterministic Multi-Agent Reinforcement Learning

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
policy consensus   distributed algorithms   multi-agent reinforcement learning   deterministic policy gradient   directed graphs   continuous control   deep reinforcement learning  

Policy Consensus-Based Distributed Deterministic Multi-Agent Reinforcement Learning Research Report Reinforcement Learning (RL) has made significant breakthroughs in recent years in various fields such as robotics, smart grids, and autonomous driving. However, in real-world scenarios, multi-agent collaboration problems, also known as Multi-Agent Re...

Spiking Diffusion Models

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Biophysics,
spiking neural networks   diffusion models   low energy consumption   bio-inspired   image generation   temporal dynamics   threshold guidance  

Brain-Inspired Low-Power Generative Model: A Review on Spiking Diffusion Models Background Overview In recent years, the artificial intelligence field has seen a surge in cutting-edge technologies, with deep generative models (DGMs) demonstrating exceptional capabilities in producing images, text, and other types of data. However, these generative ...

Face Forgery Detection Based on Fine-grained Clues and Noise Inconsistency

Information Science, Electronic Information, Computer Science, Artificial Intelligence,
face forgery   deepfake detection   noise inconsistency   fine-grained clues   dual-domain attention fusion   transformer network   compressed domain  

In-depth Exploration of Face Forgery Detection Based on Fine-Grained Clues and Noise Inconsistency Background Introduction With the rapid advancement of artificial intelligence (AI) technologies, various generative models have achieved remarkable progress. This has made it increasingly easy to generate highly realistic “deepfake” face images. These...

An Improved and Explainable Electricity Price Forecasting Model via SHAP-Based Error Compensation Approach

Engineering, Energy Engineering, Information Science, Electronic Information, Artificial Intelligence,
electricity price forecasting   explainable artificial intelligence   SHAP method   error compensation   neural networks   electricity markets   price volatility  

Improved Electricity Price Forecasting Model Based on SHAP and Its Explainability Analysis Background and Research Motivation Electricity price forecasting (EPF) models have become a hot research topic in recent years, particularly due to the financial impact of market volatility on stakeholders. Especially in European energy markets, recent years ...

Multiobjective Dynamic Flexible Job Shop Scheduling with Biased Objectives via Multitask Genetic Programming

Engineering, Mechanical Engineering, Information Science, Computer Science, Automation, Artificial Intelligence,
dynamic scheduling   flexible job shop   genetic programming   multitask learning   multiobjective optimization   scheduling heuristics   algorithm efficiency  

Breakthrough Research in Multiobjective Dynamic Flexible Job Shop Scheduling: An Innovative Approach to Optimize Biased Objectives via Multitask Learning in Genetic Programming Background Introduction Dynamic Flexible Job Shop Scheduling (DFJSS) is an essential combinatorial optimization problem with extensive real-world applications in areas such ...

NPE-DRL: Enhancing Perception-Constrained Obstacle Avoidance with Nonexpert Policy-Guided Reinforcement Learning

Engineering, Aerospace Engineering, Information Science, Computer Science, Artificial Intelligence,
UAVs   Obstacle avoidance   Deep reinforcement learning   Nonexpert policy   Perception-constrained   Sample efficiency   Monocular vision  

Research on Improving UAV Obstacle Avoidance in Vision-Constrained Environments Based on Nonexpert Policy Reinforcement Learning In recent years, unmanned aerial vehicles (UAVs) have gained widespread application in civilian fields such as package delivery, risk assessment, and emergency rescue, owing to their superior maneuverability and versatili...