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cs.LG2023
Active Reinforcement Learning for Robust Building Control
Doseok Jang, Larry Yan, Lucas Spangher +1
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. RL is al…
cs.LG2022
Personalized Federated Hypernetworks for Privacy Preservation in Multi-Task Reinforcement Learning
Doseok Jang, Larry Yan, Lucas Spangher +1
Multi-Agent Reinforcement Learning currently focuses on implementations where all data and training can be centralized to one machine. But what if local agents are split across mul…