Author

L. Du

2 papers indexed here

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2026

Action-Level Backdoor Attacks Against Deep Reinforcement Learning Systems via Adaptive Reward Exploration

Deep Reinforcement Learning (DRL) has demonstrated remarkable capabilities in domains such as robotics, finance, and autonomous systems. With the increasing cost of training, DRL models are increasingly shared and reused via model marketplaces, cloud platforms, and open-source repositories. This trend exposes DRL syste...

Ou-Bo Ma, L. Du, Yang Dai et al. · IEEE Transactions on Informa... · 0 citations

#artificial intelligence Book Feb 2024

SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems

This study unveils the capability of attackers to generate adversarial policies even when restricted to partial observations of the victims in multi-agent competitive environments, and proposes a novel black-box attack (SUB-PLAY) that incorporates the concept of constructing multiple subgames to mitigate the impact of...

Oubo Ma, Yuwen Pu, L. Du et al. · Conference on Computer and C... · 16 citations