Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning

Arjun Srinivasan; Anubhav Paras; Aniket Bera

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arXiv · 2508.15207

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning

Arjun Srinivasan·Anubhav Paras·Aniket Bera

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Abstract

Existing approaches in reinforcement learning train an agent to learn desired optimal behavior in an environment with rule based surrounding agents. In safety critical applications such as autonomous driving it is crucial that the rule based agents are modelled properly. Several behavior modelling strategies and IDM models are used currently to model the surrounding agents. We present a learning based method to derive the adversarial behavior for the rule based agents to cause failure scenarios. We evaluate our adversarial agent against all the rule based agents and show the decrease in cumulative reward.

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BibTeX RIS

Arjun Srinivasan, Anubhav Paras, Aniket Bera. 2025-08-21. Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning. https://arxiv.org/abs/2508.15207

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