Search Results for author: Seth Austin Harding

Found 2 papers, 1 papers with code

Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement Learning

1 code implementation6 Feb 2021 Jian Hu, Siyang Jiang, Seth Austin Harding, Haibin Wu, Shih-wei Liao

Multi-Agent Reinforcement Learning (MARL) has seen revolutionary breakthroughs with its successful application to multi-agent cooperative tasks such as computer games and robot swarms.

SMAC Starcraft

QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning

no code implementations9 Sep 2020 Jian Hu, Seth Austin Harding, Haibin Wu, Siyue Hu, Shih-wei Liao

Existing methods such as Value Decomposition Network (VDN) and QMIX estimate the value of long-term returns as a scalar that does not contain the information of randomness.

SMAC Starcraft

Cannot find the paper you are looking for? You can Submit a new open access paper.