Resilient Mechanism Against Byzantine Failure for Distributed Deep Reinforcement Learning

Author:

Zhang Mingyue1,Jin Zhi1,Hou Jian2,Luo Renwei3

Affiliation:

1. Peking University,Schhool of Computer Science,Beijing,China

2. Zhejiang Sci-Tech University,School of Information Science & Technology,Hangzhou,China

3. University of Electronic Science and Technology,School of Computer Science and Engineering,Chengdu,China

Publisher

IEEE

Reference34 articles.

1. Combinatorial multiarmed bandit with general reward functions;chen;Advances in Neural Information Processing Systems 29 Annual Conference on Neural Information Processing Systems 2016,0

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

3. Engineering Secure Self-Adaptive Systems with Bayesian Games

4. Contextual combinatorial multi-armed bandits with volatile arms and submodular reward;chen;Advances in Neural Information Processing Systems 31 Annual Conference on Neural Information Processing Systems 2018 NeurIPS 2018,2018

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