Maximum Entropy Inverse Reinforcement Learning

Brian D. Ziebart; Andrew L. Maas; J. Andrew Bagnell; Anind K. Dey

doi:https://doi.org/10.1184/r1/6555512

Maximum Entropy Inverse Reinforcement Learning

2018 · 2,055 citations · 5 from inside this corpus

Brian D. Ziebart, Andrew L. Maas, J. Andrew Bagnell, Anind K. Dey

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

7 of 7 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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Citation edge evidence

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Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…→Maximum Entropy Inverse Reinforcement LearningLegacy edge — source detail unavailable
A survey of robot learning from demonstration→Maximum Entropy Inverse Reinforcement LearningLegacy edge — source detail unavailable
Reinforcement learning in robotics: A survey→Maximum Entropy Inverse Reinforcement LearningLegacy edge — source detail unavailable
On the Opportunities and Risks of Foundation Models→Maximum Entropy Inverse Reinforcement LearningLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Maximum Entropy Inverse Reinforcement LearningLegacy edge — source detail unavailable
Maximum Entropy Inverse Reinforcement Learning→Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence DataLegacy edge — source detail unavailable
Maximum Entropy Inverse Reinforcement Learning→Apprenticeship learning via inverse reinforcement learningLegacy edge — source detail unavailable
Reinforcement learning in robotics: A survey→A survey of robot learning from demonstrationLegacy edge — source detail unavailable
Reinforcement learning in robotics: A survey→Apprenticeship learning via inverse reinforcement learningLegacy edge — source detail unavailable
A survey of robot learning from demonstration→Apprenticeship learning via inverse reinforcement learningLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data	2001	12,994
Apprenticeship learning via inverse reinforcement learning	2004	2,895

What cites it, inside the corpus

Paper	Year	Cited
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…	2018	3,500
A survey of robot learning from demonstration	2008	3,289
Reinforcement learning in robotics: A survey	2013	3,154
On the Opportunities and Risks of Foundation Models	2021	2,265
Soft Actor-Critic Algorithms and Applications	2018	1,994

Links

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Topics

Reinforcement Learning in Robotics	Computer Science
Diffusion and Search Dynamics	Biochemistry, Genetics and Molecular Biology
Autonomous Vehicle Technology and Safety	Engineering

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complete

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supports4 author record(s) attached.
supports11 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:51+00:00.

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