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Muesli: Combining Improvements in Policy Optimization
[article]
Matteo Hessel, Ivo Danihelka, Fabio Viola, Arthur Guez, Simon Schmitt, Laurent Sifre, Theophane Weber, David Silver (+ more)
2021
pre-print
version:v1
arXiv:2104.06159v1
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web.archive.org [PDF]
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Game-Theoretic and Set-Based Methods for Safe Autonomous Vehicles on Shared Roads
Nan Li, University, My
2021
doi:10.7302/1419
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Correlation-aware Cooperative Multigroup Broadcast 360 Video Delivery Network: A Hierarchical Deep Reinforcement Learning Approach
[article]
Fenghe Hu and Yansha Deng and A. Hamid Aghvami
2021
pre-print
version:v2
arXiv:2010.11347v2
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Convergence of Finite Memory Q-Learning for POMDPs and Near Optimality of Learned Policies under Filter Stability
[article]
Ali Devran Kara, Serdar Yuksel
2021
pre-print
version:v2
arXiv:2103.12158v2
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web.archive.org [PDF]
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Occlusion-Aware Search for Object Retrieval in Clutter
[article]
Wissam Bejjani, Wisdom C. Agboh, Mehmet R. Dogar, Matteo Leonetti
2021
pre-print
version:v4
arXiv:2011.03334v4
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web.archive.org [PDF]
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MDP Playground: A Design and Debug Testbed for Reinforcement Learning
[article]
Raghu Rajan, Jessica Lizeth Borja Diaz, Suresh Guttikonda, Fabio Ferreira, André Biedenkapp, Jan Ole von Hartz, Frank Hutter
2021
pre-print
version:v4
arXiv:1909.07750v4
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Influence-aware Memory Architectures for Deep Reinforcement Learning
[article]
Miguel Suau, Jinke He, Elena Congeduti, Rolf A.N. Starre, Aleksander Czechowski, Frans A. Oliehoek
2021
pre-print
version:v4
arXiv:1911.07643v4
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MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning
[article]
DiJia Su, Jason D. Lee, John M. Mulvey, H. Vincent Poor
2021
pre-print
version:v1
arXiv:2102.11448v1
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Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems
[article]
S M Nahid Mahmud, Moad Abudia, Scott A Nivison, Zachary I. Bell, Rushikesh Kamalapurkar
2021
pre-print
version:v1
arXiv:2110.00271v1
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Quantitative Day Trading from Natural Language using Reinforcement Learning
Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah
2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
unpublished
doi:10.18653/v1/2021.naacl-main.316
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Markov Decision Processes with Embedded Agents
Luke Harold Miles
2021
doi:10.13023/etd.2021.135
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Queueing Network Controls via Deep Reinforcement Learning
[article]
J. G. Dai, Mark Gluzman
2020
pre-print
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arXiv:2008.01644v5
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A Visual Communication Map for Multi-Agent Deep Reinforcement Learning
[article]
Ngoc Duy Nguyen, Thanh Thi Nguyen, Saeid Nahavandi
2020
pre-print
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arXiv:2002.11882v1
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Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
[article]
Meng Zhou, Ziyu Liu, Pengwei Sui, Yixuan Li, Yuk Ying Chung
2020
pre-print
version:v2
arXiv:2007.02529v2
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Transfer Reinforcement Learning under Unobserved Contextual Information
[article]
Yan Zhang, Michael M. Zavlanos
2020
pre-print
version:v1
arXiv:2003.04427v1
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Approximate information state for approximate planning and reinforcement learning in partially observed systems
[article]
Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan
2020
pre-print
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arXiv:2010.08843v1
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Enforcing Almost-Sure Reachability in POMDPs
[article]
Sebastian Junges, Nils Jansen, Sanjit A. Seshia
2020
pre-print
version:v2
arXiv:2007.00085v2
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Reinforcement Learning in Healthcare: A Survey
[article]
Chao Yu, Jiming Liu, Shamim Nemati
2020
pre-print
version:v4
arXiv:1908.08796v4
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Reinforcement Learning for Intelligent Healthcare Applications: A Survey
Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro, Giovanni Paragliola
2020
Artificial Intelligence in Medicine
doi:10.1016/j.artmed.2020.101964
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Domain Concretization from Examples: Addressing Missing Domain Knowledge via Robust Planning
[article]
Akshay Sharma, Piyush Rajesh Medikeri, Yu Zhang
2020
pre-print
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arXiv:2011.09034v1
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A Traffic Simulation Model with Interactive Drivers and High-fidelity Car Dynamics
Guankun Su, Nan Li, Yildiray Yildiz, Anouck Girard, Ilya Kolmanovsky
2019
IFAC-PapersOnLine
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Modeling Cyber-Physical Human Systems via an Interplay Between
Reinforcement Learning and Game Theory
[article]
Mert Albaba, Yildiray Yildiz
2019
pre-print
version:v1
arXiv:1910.05092v1
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Stochastic Dynamic Programming in DASH
Koffka Khan, Wayne Goodridge
2019
International journal of advanced networking and applications
doi:10.35444/ijana.2019.11031
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The Power of d Choices in Scheduling for Data Centers with Heterogeneous
Servers
[article]
Amir Moaddeli, Iman Nabati Ahmadi, Negin Abhar
2019
pre-print
version:v1
arXiv:1904.00447v1
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II-Learn—A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems
László Barna Iantovics, Dimitris K. Iakovidis, Elena Nechita
2019
International Journal of Computational Intelligence Systems
doi:10.2991/ijcis.d.191101.001
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Robust Federated Learning Through Representation Matching and Adaptive
Hyper-parameters
[article]
Hesham Mostafa
2019
pre-print
version:v1
arXiv:1912.13075v1
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Using Deep Q-Learning to Prolong the Lifetime of Correlated Internet of Things Devices
Jernej Hribar, Andrei Marinescu, George A. Ropokis, Luiz A. DaSilva
2019
IEEE International Conference on Communications
doi:10.1109/iccw.2019.8756759
dblp:conf/icc/HribarMRD19
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Transformer Based Reinforcement Learning For Games
[article]
Uddeshya Upadhyay, Nikunj Shah, Sucheta Ravikanti, Mayanka Medhe
2019
pre-print
version:v1
arXiv:1912.03918v1
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Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions
Manuel Eugenio Morocho-Cayamcela, Haeyoung Lee, Wansu Lim
2019
IEEE Access
doi:10.1109/access.2019.2942390
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Multiple Landmark Detection using Multi-Agent Reinforcement Learning
[article]
Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel
Rueckert, Bernhard Kainz
2019
pre-print
version:v2
arXiv:1907.00318v2
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