Ran Tian, Liting Sun, Masayoshi Tomizuka. Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021. pages 6011-6020, AAAI Press, 2021. [doi]
@inproceedings{TianST21,
title = {Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory},
author = {Ran Tian and Liting Sun and Masayoshi Tomizuka},
year = {2021},
url = {https://ojs.aaai.org/index.php/AAAI/article/view/16750},
researchr = {https://researchr.org/publication/TianST21},
cites = {0},
citedby = {0},
pages = {6011-6020},
booktitle = {Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021},
publisher = {AAAI Press},
isbn = {978-1-57735-866-4},
}