3 papers
cs.LG2023
Learning to Optimise Climate Sensor Placement using a Transformer
Chen Wang, Victoria Huang, Gang Chen +3
The optimal placement of sensors for environmental monitoring and disaster management is a challenging problem due to its NP-hard nature. Traditional methods for sensor placement i…
cs.LG2023
Deep Metric Tensor Regularized Policy Gradient
Gang Chen, Victoria Huang
Policy gradient algorithms are an important family of deep reinforcement learning techniques. Many past research endeavors focused on using the first-order policy gradient informat…
cs.LG2023
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients
Victoria Huang, Shaleeza Sohail, Michael Mayo +4
Federated learning (FL), as an emerging artificial intelligence (AI) approach, enables decentralized model training across multiple devices without exposing their local training da…