Search Results for author:
Found 4 papers, 1 papers with code
Active Reinforcement Learning for Robust Building Control
Reinforcement learning (RL) is a powerful tool for optimal control that has found great success in Atari games, the game of Go, robotic control, and building optimization.
Personalized Federated Hypernetworks for Privacy Preservation in Multi-Task Reinforcement Learning
We develop the first application of Personalized Federated Hypernetworks (PFH) to Reinforcement Learning (RL).
Multi-agent Reinforcement Learning
Personalized Federated Learning
+3
Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs
Our team is proposing to run a full-scale energy demand response experiment in an office building.
Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response
Our team is proposing to run a full-scale energy demand response experiment in an office building.
