most citedImplicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks

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cs.LG2023★ 2 cited

Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks

Mohammad Mohammadi, Jonathan Nöther, Debmalya Mandal +2

In targeted poisoning attacks, an attacker manipulates an agent-environment interaction to force the agent into adopting a policy of interest, called target policy. Prior work has…

cs.LG2023

Online Reinforcement Learning with Uncertain Episode Lengths

Debmalya Mandal, Goran Radanovic, Jiarui Gan +2

Existing episodic reinforcement algorithms assume that the length of an episode is fixed across time and known a priori. In this paper, we consider a general framework of episodic…