2 papers
cs.LG2021
Training a Resilient Q-Network against Observational Interference
Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang +1
Deep reinforcement learning (DRL) has demonstrated impressive performance in various gaming simulators and real-world applications. In practice, however, a DRL agent may receive fa…
cs.LG2020
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning
Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen +4
Recent deep neural networks based techniques, especially those equipped with the ability of self-adaptation in the system level such as deep reinforcement learning (DRL), are shown…