Continual Model-based Reinforcement Learning for Data Efficient Wireless
Network Optimisation

Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation

30 April 2024

Alexandros Agapitos

Alberto Castagna

Giorgio Cruciata

Aleksandar Milenovic

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Papers citing "Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation"

15 / 15 papers shown

Title
Modular Lifelong Reinforcement Learning via Neural Composition Jorge Armando Mendez Mendez H. V. Seijen Eric Eaton OffRL KELM CLL 134 41 0 01 Jul 2022
Coordinated Reinforcement Learning for Optimizing Mobile Networks Maxime Bouton Hasan Farooq Julien Forgeat Shruti Bothe Meral Shirazipour P. Karlsson 60 12 0 30 Sep 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 113 324 0 25 Dec 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund OffRL 204 742 0 24 Sep 2020
Adapting Neural Networks for the Estimation of Treatment Effects Claudia Shi David M. Blei Victor Veitch CML 152 376 0 05 Jun 2019
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 116 1,171 0 28 Nov 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 129 889 0 16 May 2018
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 127 1,231 0 04 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 571 19,315 0 20 Jul 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,587 0 02 Dec 2016
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer Coline Devin Abhishek Gupta Trevor Darrell Pieter Abbeel Sergey Levine OffRL 84 400 0 22 Sep 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 313 4,442 0 29 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 83 2,465 0 15 Jun 2016
Policy Distillation Andrei A. Rusu Sergio Gomez Colmenarejo Çağlar Gülçehre Guillaume Desjardins J. Kirkpatrick Razvan Pascanu Volodymyr Mnih Koray Kavukcuoglu R. Hadsell 105 696 0 19 Nov 2015
Learning high-dimensional directed acyclic graphs with latent and selection variables Diego Colombo Marloes H. Maathuis M. Kalisch Thomas S. Richardson CML 132 467 0 29 Apr 2011

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