Search Results for author: Christopher Gill

Found 3 papers, 2 papers with code

Reward Delay Attacks on Deep Reinforcement Learning

1 code implementation8 Sep 2022 Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher Gill, Ning Zhang

We find that this mitigation remains insufficient to ensure robustness to attacks that delay, but preserve the order, of rewards.

Q-Learning reinforcement-learning +1

Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models

no code implementations12 Mar 2019 Adith Boloor, Xin He, Christopher Gill, Yevgeniy Vorobeychik, Xuan Zhang

Recent advances in machine learning, especially techniques such as deep neural networks, are promoting a range of high-stakes applications, including autonomous driving, which often relies on deep learning for perception.

Autonomous Driving

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