Understanding and Exploiting Plasticity for Non-stationary Network Resource Adaptation

v1v2 (latest)

Understanding and Exploiting Plasticity for Non-stationary Network Resource Adaptation

2 May 2025

ArXiv (abs)PDF HTML

Papers citing "Understanding and Exploiting Plasticity for Non-stationary Network Resource Adaptation"

14 / 14 papers shown

Title
Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu J. Obando-Ceron Rameswar Panda L. Pan 119 6 0 10 Oct 2024
Normalization and effective learning rates in reinforcement learning Clare Lyle Zeyu Zheng Khimya Khetarpal James Martens H. V. Hasselt Razvan Pascanu Will Dabney 97 13 0 01 Jul 2024
Weight Clipping for Deep Continual and Reinforcement Learning Mohamed Elsayed Qingfeng Lan Clare Lyle A. Rupam Mahmood 91 12 0 01 Jul 2024
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning Arthur Juliani Jordan T. Ash OffRL OnRL CLL 81 8 0 29 May 2024
Disentangling the Causes of Plasticity Loss in Neural Networks Clare Lyle Zeyu Zheng Khimya Khetarpal H. V. Hasselt Razvan Pascanu James Martens Will Dabney AI4CE 130 38 0 29 Feb 2024
Directions of Curvature as an Explanation for Loss of Plasticity Alex Lewandowski Haruto Tanaka Dale Schuurmans Marlos C. Machado 110 8 0 30 Nov 2023
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization Guowei Xu Ruijie Zheng Yongyuan Liang Xiyao Wang Zhecheng Yuan ... Shuzhen Li Yanjie Ze Hal Daumé Furong Huang Huazhe Xu 131 31 0 30 Oct 2023
Maintaining Plasticity in Continual Learning via Regenerative Regularization Saurabh Kumar Henrik Marklund Benjamin Van Roy CLL KELM 128 23 0 23 Aug 2023
Deep Reinforcement Learning with Plasticity Injection Evgenii Nikishin Junhyuk Oh Georg Ostrovski Clare Lyle Razvan Pascanu Will Dabney André Barreto OffRL 64 52 0 24 May 2023
Understanding plasticity in neural networks Clare Lyle Zeyu Zheng Evgenii Nikishin Bernardo Avila-Pires Razvan Pascanu Will Dabney AI4CE 121 106 0 02 Mar 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning Ghada Sokar Rishabh Agarwal Pablo Samuel Castro Utku Evci CLL 108 100 0 24 Feb 2023
An Empirical Study of Implicit Regularization in Deep Offline RL Çağlar Gülçehre Srivatsan Srinivasan Jakub Sygnowski Georg Ostrovski Mehrdad Farajtabar Matt Hoffman Razvan Pascanu Arnaud Doucet OffRL 93 17 0 05 Jul 2022
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation Abdullah Alomar Pouya Hamadanian Arash Nasr-Esfahany Anish Agarwal MohammadIman Alizadeh Devavrat Shah CML 101 23 0 05 Jan 2022
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments Sindhu Padakandla 75 155 0 19 May 2020