Search Results for author: Yuanjiang Cao

Found 6 papers, 0 papers with code

Causality-Aware Transformer Networks for Robotic Navigation

no code implementations4 Sep 2024 Ruoyu Wang, Yao Liu, Yuanjiang Cao, Lina Yao

We address these constraints by initially exploring the unique differences between Navigation tasks and other sequential data tasks through the lens of Causality, presenting a causal framework to elucidate the inadequacies of conventional sequential methods for Navigation.

Visual Navigation

Multi-agent Traffic Prediction via Denoised Endpoint Distribution

no code implementations11 May 2024 Yao Liu, Ruoyu Wang, Yuanjiang Cao, Quan Z. Sheng, Lina Yao

The exploration of high-speed movement by robots or road traffic agents is crucial for autonomous driving and navigation.

Autonomous Driving Traffic Prediction +1

Reinforcement Learning for Generative AI: A Survey

no code implementations28 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 +5

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

no code implementations7 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 implementations2 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 +4

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

no code implementations14 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

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