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cs.LG2025
Low-cost Real-world Implementation of the Swing-up Pendulum for Deep Reinforcement Learning Experiments
Peter Böhm, Pauline Pounds, Archie C. Chapman
Deep reinforcement learning (DRL) has had success in virtual and simulated domains, but due to key differences between simulated and real-world environments, DRL-trained policies h…
cs.LG2019
Macro-action Multi-time scale Dynamic Programming for Energy Management in Buildings with Phase Change Materials
Zahra Rahimpour, Gregor Verbic, Archie C. Chapman
This paper focuses on energy management in buildings with phase change material (PCM), which is primarily used to improve thermal performance, but can also serve as an energy stora…