IEEE

Deep Reinforcement Learning-Based Anti-Jamming Rate Adaptation and Frequency Selection Algorithm for UAV Ad Hoc Networks

Abstract: In unmanned aerial vehicle (UAV) ad hoc networks, dynamic wireless channel fluctuations and malicious electromagnetic jamming may severely compromise link reliability, causing rate ...
Hacker

Building Product Pricing Using Reinforcement Learning Algorithms: The Realities Behind the Architect

AI Product Leader at New York Life and ex-Amazon. I bring over a decade of experience in AI product management. AI Product Leader at New York Life and ex-Amazon. I bring over a decade of experience in ...
blockchain

DeepMind Unveils AI System That Discovers Novel Reinforcement Learning Algorithms, Surpassing Human Designs

According to God of Prompt on Twitter, DeepMind has published groundbreaking research in Nature led by David Silver, introducing an AI meta-learning system capable of autonomously discovering entirely ...
IEEE

Online Reinforcement Learning Algorithm Design for Adaptive Optimal Consensus Control Under Interval Excitation

Abstract: This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, ...
marktechpost

Weak-for-Strong (W4S): A Novel Reinforcement Learning Algorithm that Trains a weak Meta Agent to Design Agentic Workflows with Stronger LLMs

W4S operates in turns. The state contains task instructions, the current workflow program, and feedback from prior executions. An action has 2 components, an analysis of what to change, and new Python ...
Frontiers

Real-time torque distribution simulation of parallel hybrid vehicle engine

School of Mechatronics and Automotive Engineering, Puyang Vocational and Technical College, Puyang, China Introduction: Parallel hybrid vehicles face challenges in real-time torque distribution, ...
GitHub

Add Flowcharts for Algorithm Understanding

What would you like to Propose? I propose adding flowcharts for selected algorithms to make it easier for beginners to understand the logic visually. Flowcharts will complement the existing code ...
marktechpost

Alibaba Introduces Group Sequence Policy Optimization (GSPO): An Efficient Reinforcement Learning Algorithm that Powers the Qwen3 Models

Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning.
Frontiers

Intelligent maneuver decision-making for UAVs using the TD3–LSTM reinforcement learning algorithm under uncertain information

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...