Robust Deep Reinforcement Learning through Bootstrapped Opportunistic
Curriculum

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Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum

International Conference on Machine Learning (ICML), 2022

21 June 2022

Yevgeniy Vorobeychik

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Papers citing "Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum"

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Title
Towards Robust Deep Reinforcement Learning against Environmental State Perturbation Chenxu Wang Huaping Liu AAML 155 0 0 10 Jun 2025
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain ShiftsInternational Conference on Learning Representations (ICLR), 2024 Hongjun Wang S. Vaze Kai Han 451 14 0 08 Aug 2024
On the Perturbed States for Transformed Input-robust Reinforcement Learning Tung M. Luu Haeyong Kang Matthew Groh Thanh Nguyen Chang D. Yoo OOD AAML OffRL 338 0 0 31 Jul 2024
$Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks$ Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy NetworksAAAI Conference on Artificial Intelligence (AAAI), 2023 Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 184 9 0 14 Dec 2023
Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning Aakriti Agrawal R. Aralikatti Yanchao Sun Furong Huang 120 1 0 12 Oct 2023
Robust Offline Reinforcement Learning -- Certify the Confidence Interval Aayush Mishra Simon S. Du OffRL 265 0 0 28 Sep 2023
Maneuver Decision-Making Through Automatic Curriculum Reinforcement Learning Without Handcrafted Reward functionsApplied Sciences (Appl. Sci.), 2023 Hong-Peng Zhang 124 5 0 12 Jul 2023
Robust Multi-agent Communication via Multi-view Message Certification Lei Yuan T. Jiang Lihe Li F. Chen Zongzhang Zhang Yang Yu 175 3 0 07 May 2023
Toward Evaluating Robustness of Reinforcement Learning with Adversarial PolicyDependable Systems and Networks (DSN), 2023 Jiawei Zhao Jiabo He Florian Schäfer Xinyu Wang Anima Anandkumar Cong Wang AAML 267 5 0 04 May 2023
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks Junlin Wu Hussein Sibai Yevgeniy Vorobeychik AAML 147 0 0 28 Dec 2022