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Augmenting Reinforcement Learning with a Planning Model for..:

, In: Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities,

Spangher, Lucas ; Gokul, Akash ; Khattar, Manan... - p. 39-42 , 2020

Link: https://dl.acm.org/doi/10.1145/3427773.3427863

RT 
T1 <cTitle>Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities</cTitle>: T1 <Title>Augmenting Reinforcement Learning with a Planning Model for Optimizing Energy Demand Response</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3427863&Exemplar=1&LAN=DE
				
A1 Spangher, Lucas
A1 Gokul, Akash
A1 Khattar, Manan
A1 Palakapilly, Joseph
A1 Agwan, Utkarsha
A1 Tawade, Akaash
A1 Spanos, Costas
PB ACM
YR 2020
K1 AutoML neural architecture search
K1 Energy demand response
K1 Planning models for Reinforcement Learning
K1 Reinforcement learning
K1 Social Energy competitions
K1 Transactive control learning
K1 Hardware
K1 Power and energy
K1 Energy distribution
K1 Smart grid
K1 Applied computing
K1 Operations research
K1 Decision analysis
K1 Multi-criterion optimization and decision-making
K1 Impact on the environment
K1 Power estimation and optimization
K1 Enterprise level and data centers power issues
SP 39
OP 42
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3427773.3427863
DO https://dl.acm.org/doi/10.1145/3427773.3427863
SF ELIB - SuUB Bremen

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