James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone. Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]
@inproceedings{MacGlashanADSSW22,
title = {Value Function Decomposition for Iterative Design of Reinforcement Learning Agents},
author = {James MacGlashan and Evan Archer and Alisa Devlic and Takuma Seno and Craig Sherstan and Peter R. Wurman and Peter Stone},
year = {2022},
url = {http://papers.nips.cc/paper_files/paper/2022/hash/4eb2c0adafbe71269f3a772c130f9e53-Abstract-Conference.html},
researchr = {https://researchr.org/publication/MacGlashanADSSW22},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
isbn = {9781713871088},
}