In this work, we present a novel reward function for Q-learning that takes into consideration the femtocell proximity to mobile users.
Abstract—Q-learning has become a prominent tool for resource allocation and management in femtocell networks, as it can decrease the time the network takes ...
A novel reward function for Q-learning that takes into consideration the femtocell proximity to mobile users is presented and ensures a certain level of ...
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Bibliographic details on A Proximity-Based Q-Learning Reward Function for Femtocell Networks.
A Proximity-Based Q-Learning Reward Function for Femtocell ...
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A Proximity-Based Q-Learning Reward Function for Femtocell Networks. Jonathan R. Tefft, Nicholas J. Kirsch. A Proximity-Based Q-Learning Reward Function for ...
Mar 2, 2024 · The goal of both inverse reinforcement learning (IRL) algorithms (eg AIRL, GAIL) and preference comparison is to discover a reward function.
Missing: Proximity- Based Femtocell
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Mar 2, 2024 · The goal of both inverse reinforcement learning (IRL) algorithms (e.g. AIRL, GAIL) and preference comparison is to discover a reward function.
Missing: Femtocell | Show results with:Femtocell
We propose a new reward function that can be implemented on a centralized Q-learning and achieve good results in terms of maintaining the quality of service for ...
Mar 18, 2018 · [9] J. R. Tefft and N. J. Kirsch, “A proximity-based Q-learning reward function for femtocell networks,” in Proc. IEEE Veh. Technol. Conf ...