Provable Performance Bounds for Digital Twin-driven Deep Reinforcement Learning in Wireless Networks: A Novel Digital-Twin Bisimulation Metric

25 February 2025

Papers citing "Provable Performance Bounds for Digital Twin-driven Deep Reinforcement Learning in Wireless Networks: A Novel Digital-Twin Bisimulation Metric"

6 / 6 papers shown

Title
Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges Nan Cheng Xiucheng Wang Zan Li Zhisheng Yin Tom H. Luan Xuemin Shen 72 15 0 12 Jun 2024
Digital Twin-Enhanced Deep Reinforcement Learning for Resource Management in Networks Slicing Zhengming Zhang Yongming Huang Cheng Zhang Qingbi Zheng Luxi Yang Xiaohu You 47 13 0 28 Nov 2023
Towards Robust Bisimulation Metric Learning Mete Kemertas Tristan Aumentado-Armstrong OffRL 42 47 0 27 Oct 2021
DQLEL: Deep Q-Learning for Energy-Optimized LoS/NLoS UWB Node Selection Zohreh Hajiakhondi-Meybodi Arash Mohammadi Ming Hou Konstantinos N. Plataniotis 37 29 0 24 Aug 2021
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 110 1,811 0 13 Dec 2019
Metrics for Finite Markov Decision Processes N. Ferns Prakash Panangaden Doina Precup 74 321 0 11 Jul 2012