
Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning
Author(s) -
Daniel S. Brown,
Scott Niekum
Publication year - 2018
Publication title -
proceedings of the ... aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v32i1.11755
Subject(s) - reinforcement learning , computer science , probabilistic logic , task (project management) , confidence interval , bayesian probability , function (biology) , machine learning , artificial intelligence , upper and lower bounds , inverse , quality (philosophy) , grid , field (mathematics) , limit (mathematics) , mathematics , statistics , engineering , mathematical analysis , philosophy , geometry , systems engineering , epistemology , evolutionary biology , pure mathematics , biology