The Principle of Maximum Causal Entropy for Estimating Interacting Processes

DOI10.1109/TIT.2012.2234824zbMath1364.62081OpenAlexW2051944318MaRDI QIDQ2989295

J. Andrew Bagnell, Brian D. Ziebart, Anind Dey

Publication date: 8 June 2017

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tit.2012.2234824

Mathematics Subject Classification ID

Random fields (60G60) Nonparametric estimation (62G05) Measures of information, entropy (94A17) Statistical aspects of information-theoretic topics (62B10)

Related Items (4)

Unnamed Item ⋮ Inverse reinforcement learning through logic constraint inference ⋮ Task-guided IRL in POMDPs that scales ⋮ Exploratory LQG mean field games with entropy regularization

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