Exploring the Preference for Discrete over Continuous Reinforcement Learning in Energy Storage Arbitrage by Jaeik Jeong, Tai-Yeon Ku, Wan-Ki Park

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Exploring the limits of hierarchical world models in reinforcement learning by Robin Schiewer, Anand Subramoney, Laurenz Wiskott

Subjects: “…Hierarchical reinforcement learning…”
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Advantage estimator based on importance sampling by Quan LIU, Yubin JIANG, Zhihui HU

Subjects: “…reinforcement learning…”
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Online hierarchical reinforcement learning based on interrupting Option by Fei ZHU, Zhi-peng XU, Quan LIU, Yu-chen FU, Hui WANG

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A Transfer Reinforcement Learning Approach for Capacity Sharing in Beyond 5G Networks by Irene Vilà, Jordi Pérez-Romero, Oriol Sallent

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GenFedRL: a general federated reinforcement learning framework for deep reinforcement learning agents by Biao JIN, Yikang LI, Zhiqiang YAO, Yulin CHEN, Jinbo XIONG

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ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events by Aizaz Sharif, Dusica Marijan

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Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services by Li’na DU, Li ZHUO, Shuo YANG, Jiafeng LI, Jing ZHANG

Subjects: “…reinforcement learning…”
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Expert-Trajectory-Based Features for Apprenticeship Learning via Inverse Reinforcement Learning for Robotic Manipulation by Francisco J. Naranjo-Campos, Juan G. Victores, Carlos Balaguer

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Moor: Model-based offline policy optimization with a risk dynamics model by Xiaolong Su, Peng Li, Shaofei Chen

Subjects: “…Offline Reinforcement Learning…”
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Adaptive Optimization in Evolutionary Reinforcement Learning Using Evolutionary Mutation Rates by Y. Zhao, Y. Ding, Y. Pei

Subjects: “…Deep reinforcement learning…”
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Machine Learning Applications in Energy Harvesting Internet of Things Networks: A Review by Olumide Alamu, Thomas O. Olwal, Emmanuel M. Migabo

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Autonomous Underwater Vehicle Docking Under Realistic Assumptions Using Deep Reinforcement Learning by Narcís Palomeras, Pere Ridao

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Novel reinforcement learning technique based parameter estimation for proton exchange membrane fuel cell model by Nermin M. Salem, Mohamed A. M. Shaheen, Hany M. Hasanien

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A Systematic Approach to Portfolio Optimization: A Comparative Study of Reinforcement Learning Agents, Market Signals, and Investment Horizons by Francisco Espiga-Fernández, Álvaro García-Sánchez, Joaquín Ordieres-Meré

Subjects: “…reinforcement learning…”
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Selective imitation for efficient online reinforcement learning with pre-collected data by Chanin Eom, Dongsu Lee, Minhae Kwon

Subjects: “…Deep reinforcement learning…”
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A Deep Reinforcement Learning-Based Geographic Packet Routing Optimization by Yijie Bai, Xia Zhang, Daojie Yu, Shengxiang Li, Yu Wang, Shuntian Lei, Zhoutai Tian

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Drone Landing and Reinforcement Learning: State-of-Art, Challenges and Opportunities by Jose Amendola, Linga Reddy Cenkeramaddi, Ajit Jha

Subjects: “…Deep reinforcement learning…”
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Reinforcement Learning with Multi-Policy Movement Strategy for Weakly Supervised Temporal Sentence Grounding by Shan Jiang, Yuqiu Kong, Lihe Zhang, Baocai Yin

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Reinforcement learning based group key agreement scheme with reduced latency for VANET by Tangwei1 XU, Hailu ZHANG, Chuhuan LIU, Liang XIAO, Zhenmin ZHU

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