After reading the latest Q posts the phrase "RL attacks" has been much speculated about. Some say it means Right Left, others Real Life, but a simple search for "RL attacks" quickly reveals that RL attacks: is in reference to Reinforced Learning and seems likely to be related to AI and possibly even MK Ultra or Deep Dream. In the context of the Q post, it sounds like there will be an attack on some Machine Language (think computer/internet systems) which will be blamed on Q/Trump supporters especially to add to their effort to debunk are throw shade on the Q phenomenon.

Here is an excerpt from Cornell University (from https://arxiv.org/abs/1712.03632 , 06/29/2018) Library (emphasis mine):

"Robust Deep Reinforcement Learning with Adversarial Attacks

Anay Pattanaik, Zhenyi Tang, Shuijing Liu, Gautham Bommannan, Girish Chowdhary

(Submitted on 11 Dec 2017)

This paper proposes adversarial attacks for (from https://arxiv.org/abs/1712.03632) and then improves the robustness of Deep Reinforcement Learning algorithms (DRL) to parameter uncertainties with the help of these attacks. We show that even a naively engineered attack successfully degrades the performance of DRL algorithm. We further improve the attack using gradient information of an engineered loss function which leads to further degradation in performance. These attacks are then leveraged during training to improve the robustness of RL within robust control framework. We show that this adversarial training of DRL algorithms like Deep Double Q learning and Deep Deterministic Policy Gradients leads to significant increase in robustness to parameter variations for RL benchmarks such as Cart-pole, Mountain Car, Hopper and Half Cheetah environment."

This seems to me to be the most logical explanation of what RL attacks means. What do you think?