Design Method of Infrared Stealth Film Based on Deep Reinforcement Learning by Kunyuan Zhang, Delian Liu, Shuo Yang

Subjects: Get full text

Multi-Agent Hierarchical Graph Attention Actor–Critic Reinforcement Learning by Tongyue Li, Dianxi Shi, Songchang Jin, Zhen Wang, Huanhuan Yang, Yang Chen

Subjects: Get full text

Integrating IoT data and reinforcement learning for adaptive macroeconomic policy optimization by Cong Peng, Yongshan Zhang, Liheng Jiang

“…To address this, we propose MLD-Net, a framework that combines IoT high-frequency data with economic data through MIDAS regression, LSTM networks for temporal dynamics, and Deep Q-Networks (DQN) for reinforcement learning-based policy optimization. MLD-Net effectively aligns multi-frequency data, captures complex temporal patterns, and adjusts policies in real-time. …”
Get full text

Model-Based Graph Reinforcement Learning for Inductive Traffic Signal Control by Francois-Xavier Devailly, Denis Larocque, Laurent Charlin

Subjects: Get full text

Transportation Mode Selection Using Reinforcement Learning in Simulation of Urban Mobility by Mehmet Bilge Han Taş, Kemal Özkan, İnci Sarıçiçek, Ahmet Yazici

Subjects: Get full text

Internet of Things Optimal Routing based on Markov-Reinforcement Learning Algorithm by Jamal M.Ali Radha, Raza Y. Abdulrahman

Subjects: Get full text

A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks by David J. Richter, Ricardo A. Calix, Kyungbaek Kim

Subjects: Get full text

Reinforcement Learning–Based Ramp Metering Strategy Considering Queue Management by Yang Yang, Shixuan Yu, Fan Ding, Yu Han

“…This paper introduces an action replacement module for reinforcement learning (RL)–based ramp metering to address the issue of ramp queue spillback during the training process. …”
Get full text

An Intelligent Optimization Strategy Based on Deep Reinforcement Learning for Step Counting by Zhoubao Sun, Pengfei Chen, Xiaodong Zhang

“…To solve the problems that the existing algorithms use threshold to filter noise, and the parameters cannot be updated in time, an intelligent optimization strategy based on deep reinforcement learning is proposed. In this study, the counting problem is transformed into a serialization decision optimization. …”
Get full text

Challenges with reinforcement learning model transportability for sepsis treatment in emergency care by Peter C. Nauka, Jason N. Kennedy, Emily B. Brant, Matthieu Komorowski, Romain Pirracchio, Derek C. Angus, Christopher W. Seymour

“…Abstract Pivotal moments in sepsis care occur in the emergency department (ED), however, and it is unclear whether ED data is adequate to inform reinforcement learning (RL) models. We evaluated the early opportunity for the AI Clinician, a validated ICU-based RL-model, as a use case. …”
Get full text

Emergence of Prediction by Reinforcement Learning Using a Recurrent Neural Network by Kenta Goto, Katsunari Shibata

“…It is suggested that through reinforcement learning using a recurrent neural network, both emerge purposively and simultaneously without testing individually whether or not each piece of information is predictable. …”
Get full text

Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning by Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov

Subjects: Get full text

EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications by Zegang Li, Qian Zhang, Guangwen Yang

“…Automating pen‐testing through reinforcement learning (RL) facilitates more frequent assessments, minimizes human effort, and enhances scalability. …”
Get full text

An optimal defensive deception framework for the container‐based cloud with deep reinforcement learning by Huanruo Li, Yunfei Guo, Penghao Sun, Yawen Wang, Shumin Huo

Subjects: Get full text

Stealthy data poisoning attack method on offline reinforcement learning in unmanned systems by ZHOU Xue, MAN Dapeng, XU Chen, LYU Jiguang, ZENG Fanyi, GAO Chaoyang, YANG Wu

Subjects: Get full text

Federated Reinforcement Learning in Stock Trading Execution: The FPPO Algorithm for Information Security by Haogang Feng, Yue Wang, Shida Zhong, Tao Yuan, Zhi Quan

Subjects: “…Federated reinforcement learning…”
Get full text

Quality Evaluation of Online Mental Health Education Based on Reinforcement Learning in the Pandemic by Weifeng Zhang

Get full text

HEVERL – Viewport Estimation Using Reinforcement Learning for 360-degree Video Streaming by Nguyen Viet Hung, Pham Tien Dat, Nguyen Tan, Nguyen Anh Quan, Le Thi Huyen Trang, Le Mai Nam

Subjects: Get full text

Deep reinforcement learning for time-critical wilderness search and rescue using drones by Jan-Hendrik Ewers, David Anderson, Douglas Thomson

Subjects: “…reinforcement learning…”
Get full text

Research on intrusion detection method for edge networks based on federated reinforcement learning by DING Kai, HUANG Yidu, TAO Ming, XIE Renping

Subjects: “…federated reinforcement learning…”
Get full text