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We propose a new perspective on adversarial attacks against deep reinforcement learning agents.
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Boosting adversarial attacks with momentum. In Proceedings of the IEEE conference on computer vision and pattern recognition
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Adversarial attacks on neural network policies
Sandy Huang, Nicolas Papernot, Ian Goodfellow, Yan Duan, and Pieter Abbeel. 2017 · 2017
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Jernej Kos and Dawn Song. 2017 · 2017
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Tactics of adversarial attack on deep reinforcement learning agents. In Proceedings of the 26th International Joint Conference on Artificial Intelligence
Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, and Min Sun. 2017 · 2017
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Robust Adversarial Reinforcement Learning. In International Conference on Machine Learning
Lerrel Pinto, James Davidson, Rahul Sukthankar, and Abhinav Gupta. 2017 · 2017
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Revisiting the arcade learning environment: Evaluation protocols and open problems for general agents
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Uncovering Surprising Behaviors in Reinforcement Learning via Worst-case Analysis
Avraham Ruderman, Richard Everett, Bristy Sikder, Hubert Soyer, Jonathan Uesato, Ananya Kumar, Charlie Beattie, and Pushmeet Kohli. 2018 · 2018
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Learning to design games: Strategic environments in reinforcement learning. In IJCAI International Joint Conference on Artificial Intelligence
H Zhang, J Wang, Z Zhou, W Zhang, Y Wen, Y Yu, and W Li. 2018 · 2018
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Robust deep reinforcement learning with adversarial attacks. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems
Anay Pattanaik, Zhenyi Tang, Shuijing Liu, Gautham Bommannan, and Girish Chowdhary. 2018 · 2042
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