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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Model-Free IRL Using Maximum Likelihood Estimation

February 1, 2023

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Authors

Vinamra Jain

University of Georgia


Prashant Doshi

University of Georgia


Bikramjit Banerjee

University of Southern Mississippi


DOI:

10.1609/aaai.v33i01.33013951


Abstract:

The problem of learning an expert’s unknown reward function using a limited number of demonstrations recorded from the expert’s behavior is investigated in the area of inverse reinforcement learning (IRL). To gain traction in this challenging and underconstrained problem, IRL methods predominantly represent the reward function of the expert as a linear combination of known features. Most of the existing IRL algorithms either assume the availability of a transition function or provide a complex and inefficient approach to learn it. In this paper, we present a model-free approach to IRL, which casts IRL in the maximum likelihood framework. We present modifications of the model-free Q-learning that replace its maximization to allow computing the gradient of the Q-function. We use gradient ascent to update the feature weights to maximize the likelihood of expert’s trajectories. We demonstrate on two problem domains that our approach improves the likelihood compared to previous methods.

Topics: AAAI

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HOW TO CITE:

Vinamra Jain||Prashant Doshi||Bikramjit Banerjee Model-Free IRL Using Maximum Likelihood Estimation Proceedings of the AAAI Conference on Artificial Intelligence (2019) 3951-3958.

Vinamra Jain||Prashant Doshi||Bikramjit Banerjee Model-Free IRL Using Maximum Likelihood Estimation AAAI 2019, 3951-3958.

Vinamra Jain||Prashant Doshi||Bikramjit Banerjee (2019). Model-Free IRL Using Maximum Likelihood Estimation. Proceedings of the AAAI Conference on Artificial Intelligence, 3951-3958.

Vinamra Jain||Prashant Doshi||Bikramjit Banerjee. Model-Free IRL Using Maximum Likelihood Estimation. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.3951-3958.

Vinamra Jain||Prashant Doshi||Bikramjit Banerjee. 2019. Model-Free IRL Using Maximum Likelihood Estimation. "Proceedings of the AAAI Conference on Artificial Intelligence". 3951-3958.

Vinamra Jain||Prashant Doshi||Bikramjit Banerjee. (2019) "Model-Free IRL Using Maximum Likelihood Estimation", Proceedings of the AAAI Conference on Artificial Intelligence, p.3951-3958

Vinamra Jain||Prashant Doshi||Bikramjit Banerjee, "Model-Free IRL Using Maximum Likelihood Estimation", AAAI, p.3951-3958, 2019.

Vinamra Jain||Prashant Doshi||Bikramjit Banerjee. "Model-Free IRL Using Maximum Likelihood Estimation". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.3951-3958.

Vinamra Jain||Prashant Doshi||Bikramjit Banerjee. "Model-Free IRL Using Maximum Likelihood Estimation". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 3951-3958.

Vinamra Jain||Prashant Doshi||Bikramjit Banerjee. Model-Free IRL Using Maximum Likelihood Estimation. AAAI[Internet]. 2019[cited 2023]; 3951-3958.


ISSN: 2374-3468


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