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• Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law

  Jian Hou, Fangyuan Wang, Lili Wang, Zhiyong Chen

  7737-7745

  2021-05-18

• Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits

  Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar

  7874-7882

  2021-05-18

• Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees

  Vyacheslav Kungurtsev, Malcolm Egan, Bapi Chatterjee, Dan Alistarh

  8209-8216

  2021-05-18

• A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data

  Xianfeng Li, Weijie Chen, Di Xie, Shicai Yang, Peng Yuan, Shiliang Pu, Yueting Zhuang

  8474-8481

  2021-05-18

• Stochastic Graphical Bandits with Adversarial Corruptions

  Shiyin Lu, Guanghui Wang, Lijun Zhang

  8749-8757

  2021-05-18

• Semi-supervised Medical Image Segmentation through Dual-task Consistency

  Xiangde Luo, Jieneng Chen, Tao Song, Guotai Wang

  8801-8809

  2021-05-18

• Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems

  Yuzhe Ma, Jon A Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu

  8865-8873

  2021-05-18

• Advice-Guided Reinforcement Learning in a non-Markovian Environment

  Daniel Neider, Jean-Raphael Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu

  9073-9080

  2021-05-18

• Top-k Ranking Bayesian Optimization

  Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet

  9135-9143

  2021-05-18

• Warm Starting CMA-ES for Hyperparameter Optimization

  Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi

  9188-9196

  2021-05-18

• Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation

  Bo Pang, Zhong-Ping Jiang

  9303-9311

  2021-05-18

• Shuffling Recurrent Neural Networks

  Michael Rotman, Lior Wolf

  9428-9435

  2021-05-18

• Meta-Learning Effective Exploration Strategies for Contextual Bandits

  Amr Sharaf, Hal Daumé III

  9541-9548

  2021-05-18

• Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks

  Weihao Tan, Devdhar Patel, Robert Kozma

  9816-9824

  2021-05-18

• Meta Learning for Causal Direction

  Jean-François Ton, Dino Sejdinovic, Kenji Fukumizu

  9897-9905

  2021-05-18

• Quantum Exploration Algorithms for Multi-Armed Bandits

  Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs

  10102-10110

  2021-05-18

• Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback

  Siwei Wang, Haoyun Wang, Longbo Huang

  10210-10217

  2021-05-18

• Robust Bandit Learning with Imperfect Context

  Jianyi Yang, Shaolei Ren

  10594-10602

  2021-05-18

• On Convergence of Gradient Expected Sarsa(λ)

  Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan

  10621-10629

  2021-05-18

• Sequential Generative Exploration Model for Partially Observable Reinforcement Learning

  Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek

  10700-10708

  2021-05-18

• Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis

  Wenmeng Yu, Hua Xu, Ziqi Yuan, Jiele Wu

  10790-10797

  2021-05-18

• A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments

  Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, An-Xiang Zeng

  11160-11167

  2021-05-18

• Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances

  Jingkai Chen, Jiaoyang Li, Chuchu Fan, Brian C. Williams

  11237-11245

  2021-05-18

• The Influence of Memory in Multi-Agent Consensus

  David Kohan Marzagão, Luciana Basualdo Bonatto, Tiago Madeira, Marcelo Matheus Gauy, Peter McBurney

  11254-11262

  2021-05-18

• Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory

  Stefanos Leonardos, Georgios Piliouras

  11263-11271

  2021-05-18