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Discovered Policy Optimisation
Lu, Chris, Kuba, Jakub Grudzien, Letcher, Alistair, Metz, Luke, de Witt, Christian Schroeder, Foerster, Jakob
Year of Publication 11.10.2022
Year of Publication 11.10.2022
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Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
Lu, Chaochao, Huang, Biwei, Wang, Ke, Hernández-Lobato, José Miguel, Zhang, Kun, Schölkopf, Bernhard
Year of Publication 16.12.2020
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Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning
Bernstein, Andrey, Chen, Yue, Colombino, Marcello, Dall'Anese, Emiliano, Mehta, Prashant, Meyn, Sean
Published in Proceedings of the IEEE Conference on Decision & Control (01.12.2019)
Published in Proceedings of the IEEE Conference on Decision & Control (01.12.2019)
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Research on Reinforcement Learning algorithms in Computer Vision
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Published in 2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) (01.12.2022)
Published in 2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) (01.12.2022)
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Energy-Efficient and Context-aware Trajectory Planning for Mobile Data Collection in IoT using Deep Reinforcement Learning
Benhamaid, Sana, Lakhlef, Hicham, Bouabdallah, Abdelmadjid
Published in International Conference on Software, Telecommunications, and Computer Networks : [proceedings (22.09.2022)
Published in International Conference on Software, Telecommunications, and Computer Networks : [proceedings (22.09.2022)
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Diffusion-based reinforcement learning for flexibility improvement in energy management systems
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Published in 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) (14.10.2024)
Published in 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) (14.10.2024)
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Trajectory and Beamforming Optimization in UAV-enabled ISAC System
Gao, Qian, Zhong, Ruikang, Liu, Yuanwei
Published in IEEE Global Communications Conference (Online) (08.12.2024)
Published in IEEE Global Communications Conference (Online) (08.12.2024)
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Deep Reinforcement Learning Algorithms for Multi-Agent Systems - A Solution for Modeling Epidemics
Selvi, S Sethu, M V, Dhananjaya Kumar, N V, Lohith, Bhardwaj, M P Venkatesh, Shetty, Kartik S
Published in 2021 IEEE Mysore Sub Section International Conference (MysuruCon) (24.10.2021)
Published in 2021 IEEE Mysore Sub Section International Conference (MysuruCon) (24.10.2021)
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Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Wang, Jitao, Shi, Chengchun, Piette, John D, Loftus, Joshua R, Zeng, Donglin, Wu, Zhenke
Year of Publication 10.01.2025
Year of Publication 10.01.2025
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Discovered Policy Optimisation
Lu, Chris, Jakub Grudzien Kuba, Letcher, Alistair, Metz, Luke, Schroeder de Witt, Christian, Foerster, Jakob
Published in arXiv.org (13.10.2022)
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Published in arXiv.org (13.10.2022)
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Constrained Expectation-Maximization Methods for Effective Reinforcement Learning
Chen, Gang, Peng, Yiming, Zhang, Mengjie
Published in 2018 International Joint Conference on Neural Networks (IJCNN) (01.07.2018)
Published in 2018 International Joint Conference on Neural Networks (IJCNN) (01.07.2018)
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A SWAT-based Reinforcement Learning Framework for Crop Management
Madondo, Malvern, Azmat, Muneeza, Dipietro, Kelsey, Horesh, Raya, Jacobs, Michael, Bawa, Arun, Srinivasan, Raghavan, O'Donncha, Fearghal
Year of Publication 09.02.2023
Year of Publication 09.02.2023
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On the Reliability and Generalizability of Brain-inspired Reinforcement Learning Algorithms
Kim, Dongjae, Lee, Jee Hang, Shin, Jae Hoon, Yang, Minsu Abel, Lee, Sang Wan
Year of Publication 09.07.2020
Year of Publication 09.07.2020
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Provably Efficient Model-Free Algorithms for Non-stationary CMDPs
Wei, Honghao, Ghosh, Arnob, Shroff, Ness, Lei, Ying, Zhou, Xingyu
Published in arXiv.org (10.03.2023)
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Published in arXiv.org (10.03.2023)
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