Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning
Preference Based Reinforcement Learning has shown much promise for utilizing human
binary feedback on queried trajectory pairs to recover the underlying reward model of the …
binary feedback on queried trajectory pairs to recover the underlying reward model of the …
Data Driven Reward Initialization for Preference based Reinforcement Learning
M Verma, S Kambhampati - arXiv preprint arXiv:2302.08733, 2023 - arxiv.org
Preference-based Reinforcement Learning (PbRL) methods utilize binary feedback from the
human in the loop (HiL) over queried trajectory pairs to learn a reward model in an attempt …
human in the loop (HiL) over queried trajectory pairs to learn a reward model in an attempt …
A State Augmentation based approach to Reinforcement Learning from Human Preferences
M Verma, S Kambhampati - arXiv preprint arXiv:2302.08734, 2023 - arxiv.org
Reinforcement Learning has suffered from poor reward specification, and issues for reward
hacking even in simple enough domains. Preference Based Reinforcement Learning …
hacking even in simple enough domains. Preference Based Reinforcement Learning …
[HTML][HTML] A multi-step electricity prediction model for residential buildings based on ensemble Empirical Mode Decomposition technique
Residential electricity demand is increasing rapidly, constituting about a quarter of total
energy consumption. Electricity demand prediction is one of the sustainable solutions to …
energy consumption. Electricity demand prediction is one of the sustainable solutions to …
Construction Scheme of Smart City Based on Internet of Things
Y Guo, Y Yang, Y Tao - 2021 6th International Conference on …, 2021 - ieeexplore.ieee.org
In order to overcome a series of problems existing in the process of smart city construction,
such as user information privacy leakage, data processing difficulties, data storage …
such as user information privacy leakage, data processing difficulties, data storage …
Diseño y desarrollo de un laboratorio de pruebas basados en Smart Home aplicando protocolo de comunicación Z-Wave y estándar 802.11.
CM Serrano, JO Mata, VR Sánchez - Ecuadorian Science …, 2021 - journals.gdeon.org
El desarrollo tecnológico actual, con equipos capaces de enviar y recibir datos, junto con
protocolos de comunicación avanzados, hace posible la implementación de casas …
protocolos de comunicación avanzados, hace posible la implementación de casas …
[PDF][PDF] Hybrid Intelligence. The strength and challenges of getting the human in the AI Loop, a literature study
MB CHIVAPONG - 2020 - documentserver.uhasselt.be
Hybrid Intelligence is the exploitation of Human Intelligence and Artificial Intelligence
combination. The emergence of Hybrid Intelligence allows both entities to overcome their …
combination. The emergence of Hybrid Intelligence allows both entities to overcome their …