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1,990 papers
Résumé (FR) Ce document, produit avec l'assistance de Gemini 3 Raisonnement, est publié sous licence Apache 2.0. Il constitue une publication défensive volontaire (antériorité) et entre de ce fait dans l'état de la technique dès sa publication en vertu des législations sur les brevets applicables : art. 54(2) CBE (Conv...
Audited data and code archive for the associated autonomous-motion-planning manuscript. Includes 65 raw training-stat MAT files, 47 executed 100-scenario final-test MAT files, 47 selected Stage-10 checkpoints, frozen final and validation scenario banks, run-level ledgers, and verification scripts. Independent regenerat...
Healthcare organizations are one of the most susceptible targets to advanced cyber-attacks owing to increasing dependence on cloud computing, AI-powered clinical applications, interconnected medical devices, and EHRs.The traditional security approach is unable to tackle ransomware attacks, insider threats, identity the...
Code, data and notebooks accompanying the manuscript "Reinforcement learning-based PID for nonlinear temperature control with delayed feedback and measurement noise" (Y. Sapazhanov, S. Kadyrov; submitted to Mathematical Models in Engineering, Extrica). The study compares six strategies for tuning PID and nonlinear PID...
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Code and Data for "Nonlocal Monte Carlo via Deep Reinforcement Learning"
Understanding consumer sentiment is important in digital marketing because it strongly influences brand perception and purchasing decisions. This paper proposes a novel two-agent off-policy proximal policy optimization (PPO) framework. Unlike standard multi-agent reinforcement learning (RL) approaches, the proposed fra...
Abstract This study verified the effects of “experiential practice” and “visualizing” carbon dioxide reduction on the transformation of junior high school students' environmental awareness and pro-environmental behavior (PEB). We sought to propose measures for sustaining high environmental awareness and choice of appro...
Audited data and code archive for the associated autonomous-motion-planning manuscript. Includes 65 raw training-stat MAT files, 47 executed 100-scenario final-test MAT files, 47 selected Stage-10 checkpoints, frozen final and validation scenario banks, run-level ledgers, and verification scripts. Independent regenerat...
ABOUT ReactFlow is a flow-matching model that generates the transition state (TS) and the surrounding reaction pathway from reactant and product structures. It uses an SO(3)-equivariant EquiformerV2 backbone (35.3M parameters) and is trained in two stages: flow-matching pretraining, followed by GRPO reinforcement-learn...
Mobile Edge Computing (MEC) enables resource-constrained mobile devices to offload computation-intensive tasks to nearby edge servers. Existing computation offloading approaches primarily optimise latency, energy consumption, or resource allocation, but often do not consider security constraints and multi-user queue st...
Quantum Electronics Explained: Quantum Systems, Devices & Advanced Technologies is a publication-grade Open Educational Resource (OER) module covering the physical principles, macroscopic quantum mechanics, circuit quantum electrodynamics (cQED), and cryogenic microwave control governing quantum hardware. Serving as an...
ABOUT ReactFlow is a flow-matching model that generates the transition state (TS) and the surrounding reaction pathway from reactant and product structures. It uses an SO(3)-equivariant EquiformerV2 backbone (35.3M parameters) and is trained in two stages: flow-matching pretraining, followed by GRPO reinforcement-learn...
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
The effort aims to help U.S. learners from kindergarten to community college, with an emphasis on math, making, and the constructive use of AI.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
Mobile Systems
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