Open AccessBounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory
Author(s) -
Ran Tian,
Liting Sun,
Masayoshi Tomizuka
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i7.16750
Subject(s) - bounded rationality , prospect theory , bounded function , markov decision process , computer science , mathematical optimization , cumulative prospect theory , satisficing , reinforcement learning , risk seeking , artificial intelligence , expected utility hypothesis , machine learning , mathematics , markov process , mathematical economics , economics , statistics , microeconomics , mathematical analysis
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