Ali Farajzadeh — accepted AI-conference papers

2025

Imitation Beyond Expectation Using Pluralistic Stochastic Dominance

Ali Farajzadeh, Danyal Saeed, Syed M Abbas, Rushit N. Shah, Aadirupa Saha, Brian D Ziebart

NeurIPS 2025spotlight

Imitation learning seeks policies reflecting the values of demonstrated behaviors. Prevalent approaches learn to match or exceed the demonstrator's performance in expectation without knowing the demonstrator’s reward function. Unfortunately, this does not induce pluralistic imitators that learn to s…

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2025

Imitation Learning via Focused Satisficing

Rushit N. Shah, Nikolaos Agadakos, Synthia Sasulski, Ali Farajzadeh, Sanjiban Choudhury, Brian Ziebart

IJCAI 2025

Imitation learning often assumes that demonstrations are close to optimal according to some fixed, but unknown, cost function. However, according to satisficing theory, humans often choose acceptable behavior based on their personal (and potentially dynamic) levels of aspiration, rather than achievi

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