Gargya Gokhale

According to our database, Gargya Gokhale authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies.

Seyed Soroush Karimi Madahi, Gargya Gokhale, Marie-Sophie Verwee, Bert Claessens, Chris Develder

CoRR, 2024

HomeLabGym: A real-world testbed for home energy management systems.

Toon Van Puyvelde, Marie-Sophie Verwee, Gargya Gokhale, Mehran Zareh Eshghdoust, Chris Develder

CoRR, 2024

Explainable Reinforcement Learning-based Home Energy Management Systems using Differentiable Decision Trees.

Gargya Gokhale, Bert Claessens, Chris Develder

CoRR, 2024

Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers.

Gargya Gokhale, Seyed Soroush Karimi Madahi, Bert Claessens, Chris Develder

CoRR, 2024

Multi-source Transfer Learning in Reinforcement Learning-based Home Battery Controller.

Seyed Soroush Karimi Madahi, Toon Van Puyvelde, Gargya Gokhale, Bert Claessens, Chris Develder

Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

2023

Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks.

Fabio Pavirani, Gargya Gokhale, Bert Claessens, Chris Develder

CoRR, 2023

Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households.

Gargya Gokhale, Niels Tiben, Marie-Sophie Verwee, Manu Lahariya, Bert Claessens, Chris Develder

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System.

Gargya Gokhale, Jonas Van Gompel, Bert Claessens, Chris Develder

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

2022

PhysQ: A Physics Informed Reinforcement Learning Framework for Building Control.

Gargya Gokhale, Bert Claessens, Chris Develder

CoRR, 2022

2021

Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings.

Gargya Gokhale, Bert Claessens, Chris Develder

CoRR, 2021