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Deep Reinforcement Learning for room temperature control: a black-box pipeline from data to policies

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Deep Reinforcement Learning for room temperature control: a black-box pipeline from data to policies

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Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

Inverse design of metal-organic frameworks for direct air capture of CO2via deep reinforcement learning

DIET Controller: Dynamic Indoor Environment using Deep Reinforcement Learning

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

Multi-agent Reinforcement Learning for Assembly of a Spanning Structure

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

DeepValve: Development and experimental testing of a Reinforcement Learning control framework for occupant-centric heating in offices

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

Reinforcement Learning for the occupant-centric operation of building energy systems: Theoretical and experimental investigations