Certified policy smoothing for cooperative multi-agent reinforcement learning

R Mu, W Ruan, LS Marcolino, G Jin, Q Ni - Proceedings of the AAAI …, 2023 - ojs.aaai.org
Cooperative multi-agent reinforcement learning (c-MARL) is widely applied in safety-critical
scenarios, thus the analysis of robustness for c-MARL models is profoundly important …
被引用次数：10 相关文章

Certified policy smoothing for cooperative multi-agent reinforcement learning

R Mu, W Ruan, LS Marcolino, G Jin, Q Ni - Proceedings of the Thirty …, 2023 - dl.acm.org
Cooperative multi-agent reinforcement learning (c-MARL) is widely applied in safety-critical
scenarios, thus the analysis of robustness for c-MARL models is profoundly important …

Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning

R Mu, W Ruan, L Soriano Marcolino, G Jin… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Cooperative multi-agent reinforcement learning (c-MARL) is widely applied in safety-critical
scenarios, thus the analysis of robustness for c-MARL models is profoundly important …

Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning

R Mu, W Ruan, LS Marcolino, G Jin, Q Ni - arXiv preprint arXiv:2212.11746, 2022 - arxiv.org
Cooperative multi-agent reinforcement learning (c-MARL) is widely applied in safety-critical
scenarios, thus the analysis of robustness for c-MARL models is profoundly important …