ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation

14 September 2021

Papers citing "ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation"

29 / 29 papers shown

Title
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning Dong-Ki Kim Miao Liu Matthew D Riemer Chuangchuang Sun Marwa Abdulhai Golnaz Habibi Sebastian Lopez-Cot Gerald Tesauro Jonathan P. How 26 55 0 31 Oct 2020
The Complexity of Constrained Min-Max Optimization C. Daskalakis Stratis Skoulakis Manolis Zampetakis 77 136 0 21 Sep 2020
Decentralized Adaptive Control for Collaborative Manipulation of Rigid Bodies Preston Culbertson Jean-Jacques E. Slotine Mac Schwager 98 52 0 06 May 2020
Certified Adversarial Robustness for Deep Reinforcement Learning Björn Lütjens Michael Everett Jonathan P. How AAML 34 93 0 28 Oct 2019
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games Macheng Shen Jonathan P. How AAML 37 19 0 18 Sep 2019
Towards Stable and Efficient Training of Verifiably Robust Neural Networks Huan Zhang Hongge Chen Chaowei Xiao Sven Gowal Robert Stanforth Yue Liu Duane S. Boning Cho-Jui Hsieh AAML 45 346 0 14 Jun 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 52 350 0 25 May 2019
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks Hadi Salman Greg Yang Huan Zhang Cho-Jui Hsieh Pengchuan Zhang AAML 73 266 0 23 Feb 2019
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Ying Wen Yaodong Yang Rui Luo Jun Wang Wei Pan LRM 93 150 0 26 Jan 2019
Stable Opponent Shaping in Differentiable Games Alistair Letcher Jakob N. Foerster David Balduzzi Tim Rocktaschel Shimon Whiteson 61 110 0 20 Nov 2018
Semidefinite relaxations for certifying robustness to adversarial examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 58 434 0 02 Nov 2018
Efficient Neural Network Robustness Certification with General Activation Functions Huan Zhang Tsui-Wei Weng Pin-Yu Chen Cho-Jui Hsieh Luca Daniel AAML 66 751 0 02 Nov 2018
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models Sven Gowal Krishnamurthy Dvijotham Robert Stanforth Rudy Bunel Chongli Qin J. Uesato Relja Arandjelović Timothy A. Mann Pushmeet Kohli AAML 48 551 0 30 Oct 2018
Efficient Formal Safety Analysis of Neural Networks Shiqi Wang Kexin Pei Justin Whitehouse Junfeng Yang Suman Jana AAML 42 400 0 19 Sep 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 63 717 0 03 Jul 2018
Towards Fast Computation of Certified Robustness for ReLU Networks Tsui-Wei Weng Huan Zhang Hongge Chen Zhao Song Cho-Jui Hsieh Duane S. Boning Inderjit S. Dhillon Luca Daniel AAML 72 688 0 25 Apr 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 199 2,226 0 08 Mar 2018
Mean Field Multi-Agent Reinforcement Learning Yaodong Yang Rui Luo Minne Li M. Zhou Weinan Zhang Jun Wang AI4CE 44 571 0 15 Feb 2018
DiCE: The Infinitely Differentiable Monte-Carlo Estimator Jakob N. Foerster Gregory Farquhar Maruan Al-Shedivat Tim Rocktaschel Eric Xing Shimon Whiteson 30 97 0 14 Feb 2018
Balancing Two-Player Stochastic Games with Soft Q-Learning Jordi Grau-Moya Felix Leibfried Haitham Bou-Ammar 80 42 0 09 Feb 2018
Population Based Training of Neural Networks Max Jaderberg Valentin Dalibard Simon Osindero Wojciech M. Czarnecki Jeff Donahue ... Tim Green Iain Dunning Karen Simonyan Chrisantha Fernando Koray Kavukcuoglu 37 736 0 27 Nov 2017
Provable defenses against adversarial examples via the convex outer adversarial polytope Eric Wong J. Zico Kolter AAML 76 1,495 0 02 Nov 2017
Emergent Complexity via Multi-Agent Competition Trapit Bansal J. Pachocki Szymon Sidor Ilya Sutskever Igor Mordatch 46 384 0 10 Oct 2017
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel CLL 40 353 0 10 Oct 2017
Learning with Opponent-Learning Awareness Jakob N. Foerster Richard Y. Chen Maruan Al-Shedivat Shimon Whiteson Pieter Abbeel Igor Mordatch 68 536 0 13 Sep 2017
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity Pablo Hernandez-Leal Michael Kaisers T. Baarslag Enrique Munoz de Cote 54 272 0 28 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 113 4,441 0 07 Jun 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 47 2,053 0 24 May 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 290 1,849 0 03 Feb 2017