Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research by Jan Benad, Frank Röder, Manfred Eppe

Subjects: “…Reinforcement learning…”
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A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm by Jing Yang, Touseef Sadiq, Jiale Xiong, Muhammad Awais, Uzair Aslam Bhatti, Roohallah Alizadehsani, Juan Manuel Gorriz

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Learning-based page replacement scheme for efficient I/O processing by Hwajung Kim

Subjects: “…Reinforcement Learning…”
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Reinforcement Learning for Reconfigurable Robotic Soccer by M. Shameer Ahamed, J. J. J. Pey, S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara

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Reinforcement learning-based vehicle travel path reconstruction from sparse automatic licence plate recognition data by Qiuping Li, Hui Meng, Li Zhuo

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An experimental study and a proposed theoretical solution for the prediction of the ductile/brittle failure modes of reinforced concrete beams strengthened with external steel plat... by Van-Hau Nguyen, Thanh Bui-Tien, Phe Van Pham, Long Nguyen-Ngoc

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A generic self-learning emotional framework for machines by Alberto Hernández-Marcos, Eduardo Ros

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Steganography in Game Actions by Ching-Chun Chang, Isao Echizen

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A survey of neural architecture search by Mingjie HE, Jie ZHANG, Shiguang SHAN

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Review: the application of deep reinforcement learning to quantitative trading in financial market by XU Bo, HE Yijun, WEN Jiancheng, LI Xiangxia

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Inverse Kinematics of a 7-Degree-of-Freedom Robotic Arm Based on Deep Reinforcement Learning and Damped Least Squares by Shusheng Yu, Gongquan Tan

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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…”
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Comparison of a combined torus tank with a composite isogrid support with existing design solutions by Andrii Diadiuk, Volodymyr Lipovskyi

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Multi-Slot Secure Offloading and Resource Management in VEC Networks: A Deep Reinforcement Learning-Based Method by Zhen Li, Jialong Gong, Xiong Xiong, Dong Wang

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Queue Formation and Obstacle Avoidance Navigation Strategy for Multi-Robot Systems Based on Deep Reinforcement Learning by Tianyi Gao, Zhanlan Li, Zhixin Xiong, Ling Wen, Kai Tian, Kewei Cai

Subjects: “…Deep reinforcement learning…”
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Reinforcement Learning-Based Autonomous Soccer Agents: A Study in Multi-Agent Coordination and Strategy Development by Biplov Paneru, Bishwash Paneru, Ramhari Poudyal, Khem Poudyal

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Reinforcement learning algorithm based on minimum state method and average reward by LIU Quan1, FU Qi-ming1, GONG Sheng-rong1, FU Yu-chen1, CUI Zhi-ming1

Subjects: “…reinforcement learning…”
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A Multi-Robot Collaborative Exploration Method Based on Deep Reinforcement Learning and Knowledge Distillation by Rui Wang, Ming Lyu, Jie Zhang

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Blockchain-Powered Secure and Scalable Threat Intelligence System With Graph Convolutional Autoencoder and Reinforcement Learning Feedback Loop by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

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Deformation approach to the calculation of compressive strength of steel-reinforced concrete elements by D. N. Lazouski, A. I. Hil, D. O. Hlukhau

Subjects: “…compressed steel-reinforced concrete element…”
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