Adaptive Dynamic Programming for Energy-Efficient Base Station Cell Switching

no code implementations • 5 Oct 2023 • Junliang Luo, Yi Tian Xu, Di wu, Michael Jenkin, Xue Liu, Gregory Dudek

In this work, we propose an approximate dynamic programming (ADP)-based method coupled with online optimization to switch on/off the cells of base stations to reduce network power consumption while maintaining adequate Quality of Service (QoS) metrics.

Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios

no code implementations • 22 Mar 2023 • Yi Tian Xu, Jimmy Li, Di wu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek

When deploying to an unknown traffic scenario, we select a policy from the policy bank based on the similarity between the previous-day traffic of the current scenario and the traffic observed during training.

Reinforcement Learning (RL)

Communication Load Balancing via Efficient Inverse Reinforcement Learning

no code implementations • 22 Mar 2023 • Abhisek Konar, Di wu, Yi Tian Xu, Seowoo Jang, Steve Liu, Gregory Dudek

Engineering this reward function is challenging, because it involves the need for expert knowledge and there lacks a general consensus on the form of an optimal reward function.

reinforcement-learning Reinforcement Learning (RL)

Human Motion Prediction via Pattern Completion in Latent Representation Space

no code implementations • 18 Apr 2019 • Yi Tian Xu, Yaqiao Li, David Meger

Inspired by ideas in cognitive science, we propose a novel and general approach to solve human motion understanding via pattern completion on a learned latent representation space.

Action Classification General Classification +4