Reinforcement Learning for Generative AI: A Survey

no code implementations • 28 Aug 2023 • Yuanjiang Cao, Quan Z. Sheng, Julian McAuley, Lina Yao

Deep Generative AI has been a long-standing essential topic in the machine learning community, which can impact a number of application areas like text generation and computer vision.

Inductive Bias Language Modelling +3

Guided Image-to-Image Translation by Discriminator-Generator Communication

no code implementations • 7 Mar 2023 • Yuanjiang Cao, Lina Yao, Le Pan, Quan Z. Sheng, Xiaojun Chang

The goal of Image-to-image (I2I) translation is to transfer an image from a source domain to a target domain, which has recently drawn increasing attention.

Generative Adversarial Network Image-to-Image Translation +1

Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems

no code implementations • 2 Dec 2021 • Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng

Finally, we study the attack strength and frequency of adversarial examples and evaluate our model on standard datasets with multiple crafting methods.

Adversarial Robustness counterfactual +3

Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems

no code implementations • 14 Jun 2020 • Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang

Finally, we study the attack strength and frequency of adversarial examples and evaluate our model on standard datasets with multiple crafting methods.

Recommendation Systems reinforcement-learning +1