An imitation learning approach for cache replacement

E Liu, M Hashemi, K Swersky… - … Machine Learning, 2020 - proceedings.mlr.press
… an imitation learning approach to automatically learn cache … eviction decision given the future
cache accesses. While directly … patterns, and call this approach PARROT. When evaluated …

Learning future reference patterns for efficient cache replacement decisions

H Choi, S Park - IEEE Access, 2022 - ieeexplore.ieee.org
… a cache replacement policy technique to increase the cache hit rate. This policy can improve
the efficiency of cache … Ahn, “An imitation learning approach for cache replacement,” in In: …

OA-cache: Oracle approximation-based cache replacement at the network edge

S Qiu, Q Fan, X Li, X Zhang, G Min… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
… We propose an imitation learning architecture to calculate the eviction probability distribution
to approximate the oracle policy. We innovatively introduce the binary crossentropy loss …

Improving cache replacement policy using deep reinforcement learning

CE Benson - 2018 - ideals.illinois.edu
imitation learning to train cache replacement policies to mimic an optimal replacement … this
work will focus on simple caches that are effective for evaluating cache replacement policies. …

An end-to-end automatic cache replacement policy using deep reinforcement learning

Y Zhou, F Wang, Z Shi, D Feng - Proceedings of the International …, 2022 - ojs.aaai.org
… the utility of deep reinforcement learning (DRL) in cache replacement policies. Most of the …
block in the cache and uses heuristic or ML methods to design cache replacement policies. In …

Two-dimensional task offloading for mobile networks: An imitation learning framework

Z Yan, P Cheng, Z Chen, B Vucetic… - IEEE/ACM Transactions …, 2021 - ieeexplore.ieee.org
… In this paper, we propose a novel Gaussian process imitation learning (GPIL) method to …
GPIL method lies in exploiting the unique enumeration tree structure of B&B, and learning how …

Imitation learning enabled task scheduling for online vehicular edge computing

X Wang, Z Ning, S Guo, L Wang - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
… , this paper proposes an imitation learning enabled task … it does not require RSUs to cache
or process computational tasks for … , we design an imitation learning-based method to conquer …

Imitation learning: Progress, taxonomies and challenges

B Zheng, S Verma, J Zhou, IW Tsang… - … Networks and Learning …, 2022 - ieeexplore.ieee.org
… into other research fields like scheduling [35] and cache replacement problem [25]. … [46]
proposed thirdperson imitation learning (TPIL) which partition the discriminator into feature …

Multi-agent imitation learning for pervasive edge computing: A decentralized computation offloading algorithm

X Wang, Z Ning, S Guo - IEEE Transactions on Parallel and …, 2020 - ieeexplore.ieee.org
… a multiagent imitation learning based computation offloading algo… computing based on
multiagent imitation learning. Generally, … , communication and caching scheduling among edge …

A Future-Oriented Cache Management for Mobile Games

Y Hu, M Wang, Y Chen, C Fan - 2021 IEEE Conference on …, 2021 - ieeexplore.ieee.org
imitation learning based (IL-based) method and reinforcement learning based (RL-based)
method to infer the data that are most likely to be used in the future by learning the behaviour …