Cindy A. Baumann

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All published works

Action	Title	Year	Authors
+	Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: Simulations and experiments	2021	Bratislav Svetozarevic Cindy A. Baumann Simon Muntwiler Loris Di Natale Melanie N. Zeilinger Philipp Heer
+	Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: simulations and experiments	2021	Bratislav Svetozarevic Cindy A. Baumann Simon Muntwiler Loris Di Natale Melanie N. Zeilinger Philipp Heer

Common Coauthors

Coauthor	Papers Together
Bratislav Svetozarevic	2
Simon Muntwiler	2
Melanie N. Zeilinger	2
Loris Di Natale	2
Philipp Heer	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A Critical Review of Recurrent Neural Networks for Sequence Learning	2015	Zachary C. Lipton John Berkowitz Charles Elkan	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	2
+	Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving	2016	Xi Xiong Jianqiang Wang Fang Zhang Keqiang Li	2
+	Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards	2017	Matej Vecerík Todd Hester Jonathan Scholz Fumin Wang Olivier Pietquin Bilal Piot Nicolas Heess Thomas Rothörl Thomas Lampe Martin Riedmiller	2
+	Recent Trends in Deep Learning Based Natural Language Processing	2017	Tom Young Devamanyu Hazarika Soujanya Poria Erik Cambria	2
+	Modeling and Optimization of Complex Building Energy Systems with Deep Neural Networks	2017	Yize Chen Yuanyuan Shi Baosen Zhang	2
+ PDF Chat	On-Line Building Energy Optimization Using Deep Reinforcement Learning	2018	Elena Mocanu Decebal Constantin Mocanu Phuong H. Nguyen Antonio Liotta Michael E. Webber Madeleine Gibescu J.G. Slootweg	2
+ PDF Chat	Definition and Evaluation of Model-Free Coordination of Electrical Vehicle Charging With Reinforcement Learning	2019	Nasrin Sadeghianpourhamami Johannes Deleu Chris Develder	2
+ PDF Chat	A review of reinforcement learning for autonomous building energy management	2019	Karl Mason Santiago Grijalva	2
+ PDF Chat	Performance-Driven Cascade Controller Tuning With Bayesian Optimization	2021	Mohammad Khosravi Varsha Behrunani P. Myszkorowski Roy S. Smith Alisa Rupenyan John Lygeros	2
+ PDF Chat	One for Many	2020	Shichao Xu Yixuan Wang Yanzhi Wang Zheng O’Neill Qi Zhu	2
+ PDF Chat	Deep Reinforcement Learning: A Brief Survey	2017	Kai Arulkumaran Marc Peter Deisenroth Miles Brundage Anil A. Bharath	2
+ PDF Chat	Provably safe and robust learning-based model predictive control	2013	Anil Aswani Humberto González Shankar Sastry Claire J. Tomlin	1
+	Continuous control with deep reinforcement learning	2016	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	1
+ PDF Chat	Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey	2020	Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund	1
+	An empirical investigation of the challenges of real-world reinforcement learning	2020	Gabriel Dulac-Arnold Nir Levine Daniel J. Mankowitz Jerry Li Cosmin Păduraru Sven Gowal Todd Hester	1
+	An empirical investigation of the challenges of real-world reinforcement learning.	2020	Gabriel Dulac-Arnold Nir Levine Daniel J. Mankowitz Jerry Li Cosmin Păduraru Sven Gowal Todd Hester	1
+ PDF Chat	A coordinated control to improve performance for a building cluster with energy storage, electric vehicles, and energy sharing considered	2020	Pei Huang Marco Lovati Xingxing Zhang Chris Bales	1
+ PDF Chat	A brief survey of deep reinforcement learning	2017	Kai Arulkumaran Marc Peter Deisenroth Miles Brundage Anil A. Bharath	1
+	OpenAI Gym	2016	Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba	1
+	Optimal Control Via Neural Networks: A Convex Approach	2018	Yize Chen Yuanyuan Shi Baosen Zhang	1
+	Optimal Control Via Neural Networks: A Convex Approach	2018	Yize Chen Yuanyuan Shi Baosen Zhang	1
+ PDF Chat	Modeling and optimization of complex building energy systems with deep neural networks	2017	Yize Chen Yuanyuan Shi Baosen Zhang	1
+ PDF Chat	SciPy 1.0: fundamental algorithms for scientific computing in Python	2020	Pauli Virtanen Ralf Gommers Travis E. Oliphant Matt Haberland Tyler Reddy David Cournapeau Evgeni Burovski Pearu Peterson Warren Weckesser J.D. Bright	1