Federated Deep Reinforcement Learning
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Qiang Yang | H. Zhuo | Wenfeng Feng | Yufeng Lin | Qian Xu
[1] Peter Stone,et al. Transfer Learning for Reinforcement Learning Domains: A Survey , 2009, J. Mach. Learn. Res..
[2] Luke S. Zettlemoyer,et al. Reinforcement Learning for Mapping Instructions to Actions , 2009, ACL.
[3] Aaron Roth,et al. The Algorithmic Foundations of Differential Privacy , 2014, Found. Trends Theor. Comput. Sci..
[4] Qiang Yang,et al. Action-model acquisition for planning via transfer learning , 2014, Artif. Intell..
[5] Martin J. Wainwright,et al. Privacy Aware Learning , 2012, JACM.
[6] Hector Muñoz-Avila,et al. Learning hierarchical task network domains from partially observed plan traces , 2014, Artif. Intell..
[7] Jakub Konecný,et al. Federated Optimization: Distributed Optimization Beyond the Datacenter , 2015, ArXiv.
[8] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[9] Shimon Whiteson,et al. Learning to Communicate with Deep Multi-Agent Reinforcement Learning , 2016, NIPS.
[10] Pieter Abbeel,et al. Value Iteration Networks , 2016, NIPS.
[11] Ian Goodfellow,et al. Deep Learning with Differential Privacy , 2016, CCS.
[12] Ameet Talwalkar,et al. Federated Multi-Task Learning , 2017, NIPS.
[13] Dorian Kodelja,et al. Multiagent cooperation and competition with deep reinforcement learning , 2015, PloS one.
[14] Subbarao Kambhampati,et al. Model-lite planning: Case-based vs. model-based approaches , 2017, Artif. Intell..
[15] Jonathan P. How,et al. Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability , 2017, ICML.
[16] Blaise Agüera y Arcas,et al. Communication-Efficient Learning of Deep Networks from Decentralized Data , 2016, AISTATS.
[17] Joel Z. Leibo,et al. Multi-agent Reinforcement Learning in Sequential Social Dilemmas , 2017, AAMAS.
[18] Sergey Levine,et al. Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings , 2018, ICML.
[19] Subbarao Kambhampati,et al. Extracting Action Sequences from Texts Based on Deep Reinforcement Learning , 2018, IJCAI.
[20] Sanjiv Kumar,et al. cpSGD: Communication-efficient and differentially-private distributed SGD , 2018, NeurIPS.
[21] Marcello Restelli,et al. Transfer of Value Functions via Variational Methods , 2018, NeurIPS.
[22] Shimon Whiteson,et al. QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning , 2018, ICML.
[23] Toshihiko Yamasaki,et al. Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing , 2018, AAAI.
[24] Qiang Yang,et al. Federated Machine Learning , 2019, ACM Trans. Intell. Syst. Technol..
[25] Shimon Whiteson,et al. Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning , 2020, J. Mach. Learn. Res..