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Lab. Seminar

07월 30일 (목) 논문 세미나 – 임현교
Q. Fu, E. Sun, K. Meng, M. Li and Y. Zhang, "Deep Q-Learning for Routing Schemes in SDN-Based Data Center Networks," in IEEE Access, vol. 8, pp. 103491-103499, 2020.

07월 23일 (목) 논문 세미나 – 황규영
Ian Osband, Charles Blundell, Alexander Pritzel, Benjamin Van Roy, “Deep Exploration via Bootstrapped DQN,” Advances in Neural Information Processing Systems 29 (NIPS 2016).

02월 17일 (월) 논문 세미나 – 최호빈
Zäzilia Seibold, Thomas Stoll, Kai Furmans, “Layout-optimized sorting of goods with decentralized controlled conveying modules,” 2013 IEEE International Systems Conference (SysCon), Apr. 2013.

02월 11일 (화) 논문 세미나 – 김주봉
T. Eccles et al., “Biases for Emergent Communication in Multi-agent Reinforcement Learning,”, NIPS, 2019.

02월 03일 (월) 교재 세미나 – 황규영
Richard S. Sutton and Andrew G. Barto, “Reinforcement Learning: An Introduction,” second edition, MIT Press, Cambridge, MA, 2018.

01월 20일 (월) 논문 세미나 – 임현교
- 논문: C. Nadiger, A. Kumar and S. Abdelhak, “Federated Reinforcement Learning for Fast Personalization,” 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), Sardinia, Italy, pp. 123-127, 2019.

01월 17일 (금) 논문 세미나 – 황규영
Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Azar, David Silver, “Rainbow: Combining Improvements in Deep Reinforcement Learning,” AAAI, 2018.

01월 06일 (월) 논문 세미나 – 최호빈
- 논문: Sanmit Narvekar, Peter Stone, “Learning Curriculum Policies for Reinforcement Learning,” arXiv:1812.00285, 2018.

12월 30일 (월) 논문 세미나 – 김주봉
David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, Martin Riedmiller, “Deterministic Policy Gradient Algorithms,” JMLR, 2014. & Appendix
Timothy P. Lillicrap∗, Jonathan J. Hunt∗, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver & Daan Wierstra, “CONTINUOUS CONTROL WITH DEEP REINFORCEMENT LEARNING,” ICLR, 2016.

12월 23일 (월) 논문 세미나 – 임현교
Horgan, Dan, John Quan, David Budden, Gabriel Barth-Maron, Matteo Hessel, Hado van Hasselt and David Silver. “Distributed Prioritized Experience Replay.” ArXiv abs/1803.00933, 2018.

12월 16일 (월) 논문 세미나 – 임현교
- 논문: Nair, Arun, Praveen Srinivasan, Sam Blackwell, Cagdas Alcicek, Rory Fearon, Alessandro De Maria, Vedavyas Panneershelvam, Mustafa Suleyman, Charles Beattie, Stig Petersen, Shane Legg, Volodymyr Mnih, Koray Kavukcuoglu and David Silver. “Massively Parallel Methods for Deep Reinforcement Learning.” ArXiv abs/1507.04296, 2015.

11월 18일 (월) 논문 세미나 – 임현교
- 논문: Ramy E. Ali, Bilgehan Erman, Ejder Ba¸stug and Bruce Cilli, “Hierarchical Deep Double Q-Routing,” arXiv:1910.04041, 9 Oct. 2019.
11월 11일 (월) 논문 세미나 – 최호빈
- 논문: Yoshua Bengio, Jerome Louradour, Ronan Collobert, Jason Weston, “Curriculum Learning,” ICML, 2009.
11월 04일 (월) 논문 세미나 – 김주봉
- 논문: Zhang-Wei Hong, Shih-Yang Su, Tzu-Yun Shann, Yi-Hsiang Chang, Chun-Yi Lee , “A Deep Policy Inference Q-Network for Multi-Agent Systems,” arXiv:1712.07893, 9 Apr. 2018.

10월 14일 (월) 논문 세미나 – 황규영
Efe Camci, Erdal Kayacan, “End-to-End Motion Planning of Quadrotors Using Deep Reinforcement Learning,” arXiv:1909.13599v1, 30 Sep 2019.

10월 07일 (월) 논문 세미나 – 황규영
Iñaki Iturrate, Ricardo Chavarriaga, Luis Montesano, Javier Minguez, José del R. Millán, “Teaching brain-machine interfaces as an alternative paradigm to neuroprosthetics control,” nature Scientific Reports, 2015.

09월 30일 (월) 논문 세미나 – 김주봉
- 논문: Bowen Baker, “EMERGENT TOOL USE FROM MULTI-AGENT AUTOCURRICULA,” arXiv:1909.07528v1, 2019.
- 발표자료
09월 04일 (수) 논문 세미나 – 김주봉
- 논문: Jonathan Ho, Stefano Ermon, “Generative Adversarial Imitation Learning,” 30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain.
- 발표자료
06월 25일 (화) 논문 세미나 – 최호빈
- James C. Chen, et al., “Solving a Sortation Conveyor Layout Design Problem with Simulation-optimization Approach,” 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA), 2019
- A. Jayaraman, et al., “A Sortation System Model,” Winter Simulation Conference Proceedings, 1997
- Fu-bin Pan, “Simulation Design of Express Sorting System—Example of SF’s Sorting Center,” The Open Cybernetics & Systemics Journal, 8, 1116-1122, 2014
- Samuel Chenatti, et al., “Deep Reinforcement Learning in Robotics Logistic Task Coordination,” 2018 Latin American Robotic Symposium, 2018
06월 17일 (월) 논문 세미나 – 김주봉
- 논문: J. Foerster, “Learning to Communicate with Deep Multi-Agent Reinforcement Learning,” 30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain.
- 발표자료
06월 10일 (월) 논문 세미나 – 허주성
- 논문: Hyun-Joo Kim, “Design and Implementation of an Efficient Web Services Data Processing Using Hadoop-Based Big Data Processing Technique,” Journal of the Korea Academia-Industrial Cooperation Society, Vol. 16, No. 1 pp. 726-734, 2015
- 발표자료
05월 27일 (월) 논문 세미나 – 임현교
- 논문: Almuthanna T. Nassar, Yasin Yilmaz, “Reinforcement Learning-based Resource Allocation in Fog RAN for IoT with Heterogeneous Latency Requirements,” arXiv:1806.04582, 2018
- 발표자료
05월 13, 20일 (월) 논문 세미나 – 권도형
- 논문: H. Yin and S. J. Pan, “Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay,” Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence
- 발표자료

05월 08일 (수) 논문 세미나 – 황규영
François Chollet, “Xception: Deep Learning with Depthwise Separable Convolutions”, arXiv:1610.02357v3 [cs.CV] 4 Apr 2017.

04월 29일 (월) 논문 세미나 – 최호빈
- 논문: Samuel L. Smith, Pieter-Jan Kindermans, Chris Ying, and Quoc V. Le, “Don’t Decay The Learning Rate, increase The Batch Size,” ICLR 2018.
- 발표자료
04월 08일 (월) 논문 세미나 – 임현교
- 논문: Quang Tran Anh Pham, Yassine Hadjadj-Aoul, and Abdelkader Outtagarts, “Deep Reinforcement Learning based QoS-aware Routing in Knowledge-defined networking,” Qshine 2018 – 14th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, pp. 1-13, Dec, 2018.
- 발표자료
04월 01일 (월) 논문 세미나 – 허주성
- 논문: AUTOMATIC OBJECT EXTRACTION FROM ELECTRONIC DOCUMENTS USING DEEP NEURAL NETWORK, Heejin Jang, Yeonghun Chae, Sangwon Lee, Jinyong Jo, KIPS Transactions on Software and Data Engineering, Vol. 7, No. 11, pp. 411-418, Nov. 2018.
- 발표자료
03월 25일 (월) 논문 세미나 – 최호빈
- 논문:Igor Adamski, Robert Adamski, Tomasz Grel, Adam Jędrych, Kamil Kaczmarek, Henryk Michalewski, “Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes”, arXiv:1801.02852 [cs.AI], Jan 2018.
- 발표자료

03월 18일 (월) 논문 세미나 – 황규영
Sartoretti, Y. Wu, W. Paivine, T. K. S. Kumar, S. Koenig, and H. Choset, “Distributed Reinforcement Learning for MultiRobot Decentralized Collective Construction”, DARS 2018.

03월 11일 (월) 논문 세미나 – 임현교
- 논문: J. Schulman, F. Wolski, P. Dhariwal, A. Radford and O. Klimov, “Proximal Policy Optimization Algorithms,” arXiv:1707.06347v2 [cs.LG], Aug. 2017.
- 발표자료
03월 4일 (월) 논문 세미나 – 김주봉
- 논문: J. Schulman, S. Levine, P. Moritz, M. Jordan and P. Abbeel, “Trust Region Policy Optimization,” arXiv:1502.05477v5 [cs.LG], Apr. 2017.
- 발표자료
02월 25일 (월) 논문 세미나 – 김주봉
- 논문: M. Egorov, “Multi-Agent Deep Reinforcement Learning,” Stanford University
- 발표자료
02월 15일 (금) 논문 세미나 – 권도형
- 논문: V. Mnih, A.P. Badia, M. Mirza, A. Graves, T.P. Lillicrap, T. Harley, D. Silver, and K. Kavukcuoglu, ” Asynchronous Methods for Deep Reinforcement Learning,” Proceedings of The 33rd International Conference on Machine Learning, vol.48 pp. 1928-1937, 2016.
- 발표자료
02월 07일 (목) 논문 세미나 – 임현교
- 논문: Chin-Feng Lai, Wei-Che Chien, Laurence T. Yang, Weizhong Qiang, “LSTM and Edge Computing for Big Data Feature Recognition of Industrial Electrical Equipment,” IEEE Transactions on Industrial Informatics. PP. 1-1, 2019.
- 발표자료
01월 31일 (목) 논문 세미나 – 김주봉
- 논문: S. James , P. Wohlhart, M. Kalakrishnan, D. Kalashnikov, A. Irpan, J. Ibarz, S. Levine, R. Hadsell, and K. Bousmalis, “Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks,” arXiv:1812.07252 [cs.RO], Dec. 2018.
- 발표자료

12월 20일 (목) 논문 세미나 – 임현교
M. Spryn, A. Sharma, D. Parkar, and M. Shrimal, "Distributed Deep Reinforcement Learning on the Cloud for Autonomous Driving," ACM/IEEE 1st International Workshop on Software Engineering for AI in Autonomous Systems, 2018.

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