Search Results for author: Jonathan M. Cullen

Found 3 papers, 2 papers with code

Zero-Shot Reinforcement Learning from Low Quality Data

1 code implementation • 26 Sep 2023 • Scott Jeen, Tom Bewley, Jonathan M. Cullen

Zero-shot reinforcement learning (RL) promises to provide agents that can perform any task in an environment after an offline, reward-free pre-training phase.

Offline RL reinforcement-learning +1

Paper
Code

Low Emission Building Control with Zero-Shot Reinforcement Learning

no code implementations • 12 Aug 2022 • Scott R. Jeen, Alessandro Abate, Jonathan M. Cullen

Heating and cooling systems in buildings account for 31\% of global energy use, much of which are regulated by Rule Based Controllers (RBCs) that neither maximise energy efficiency nor minimise emissions by interacting optimally with the grid.

reinforcement-learning Reinforcement Learning (RL)

Paper
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Low Emission Building Control with Zero-Shot Reinforcement Learning

1 code implementation • 28 Jun 2022 • Scott R. Jeen, Alessandro Abate, Jonathan M. Cullen

Heating and cooling systems in buildings account for 31% of global energy use, much of which are regulated by Rule Based Controllers (RBCs) that neither maximise energy efficiency nor minimise emissions by interacting optimally with the grid.

reinforcement-learning Reinforcement Learning (RL)

Paper
Code

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