Adaptive Aggregation for Safety-Critical Control

no code implementations • 7 Feb 2023 • Huiliang Zhang, Di wu, Benoit Boulet

Safety has been recognized as the central obstacle to preventing the use of reinforcement learning (RL) for real-world applications.

reinforcement-learning Reinforcement Learning (RL) +2

MetaEMS: A Meta Reinforcement Learning-based Control Framework for Building Energy Management System

no code implementations • 23 Oct 2022 • Huiliang Zhang, Di wu, Benoit Boulet

The building sector has been recognized as one of the primary sectors for worldwide energy consumption.

energy management Management +4

Anticipating the Unseen Discrepancy for Vision and Language Navigation

no code implementations • 10 Sep 2022 • Yujie Lu, Huiliang Zhang, Ping Nie, Weixi Feng, Wenda Xu, Xin Eric Wang, William Yang Wang

In this paper, we propose an Unseen Discrepancy Anticipating Vision and Language Navigation (DAVIS) that learns to generalize to unseen environments via encouraging test-time visual consistency.

Data Augmentation Decision Making +3

Data-driven Model Predictive and Reinforcement Learning Based Control for Building Energy Management: a Survey

no code implementations • 28 Jun 2021 • Huiliang Zhang, Sayani Seal, Di wu, Benoit Boulet, Francois Bouffard, Geza Joos

Building energy management is one of the core problems in modern power grids to reduce energy consumption while ensuring occupants' comfort.

energy management Management +3