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cs.LG2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions
Ezgi Korkmaz, Jonah Brown-Cohen
Learning in MDPs with highly complex state representations is currently possible due to multiple advancements in reinforcement learning algorithm design. However, this incline in c…
cs.LG2023★ 1 cited
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness
Ezgi Korkmaz
Learning from raw high dimensional data via interaction with a given environment has been effectively achieved through the utilization of deep neural networks. Yet the observed deg…