ResQ: A Residual Q Function-Based Approach for Multi-Agent Reinforcement Learning Value Factorization

Item #:

068431-0395

Details

DOI: https://doi.org/10.52202/068431-0395
Author(s): Yongquan Fu, Jun Liu, Weiquan Liu, Xinwang Liu, Mengwei Qiu, Siqi Shen, Cheng Wang
Pages: 5471-5483 (13 pages)
Format: PDF Paper Download
Conference: Advances in Neural Information Processing Systems 35
Date/Location: Held 28 November - 9 December 2022, New Orleans, Louisiana, USA.
Series: Advances in Neural Information Processing Systems 35
Publisher: Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DOI: https://doi.org/10.52202/068431-0395
Author(s): Yongquan Fu, Jun Liu, Weiquan Liu, Xinwang Liu, Mengwei Qiu, Siqi Shen, Cheng Wang
Pages: 5471-5483 (13 pages)
Format: PDF Paper Download
Conference: Advances in Neural Information Processing Systems 35
Date/Location: Held 28 November - 9 December 2022, New Orleans, Louisiana, USA.
Series: Advances in Neural Information Processing Systems 35
Publisher: Neural Information Processing Systems Foundation, Inc. (NeurIPS)