Synthetic white balancing for intra-operative hyperspectral imaging

no code implementations • 24 Jul 2023 • Anisha Bahl, Conor C. Horgan, Mirek Janatka, Oscar J. MacCormac, Philip Noonan, Yijing Xie, Jianrong Qiu, Nicola Cavalcanti, Philipp Fürnstahl, Michael Ebner, Mads S. Bergholt, Jonathan Shapey, Tom Vercauteren

Synthetic references achieve median pixel-by-pixel errors lower than 6. 5% and produce similar reconstructions and errors to an ideal reference.

Towards Resilience for Multi-Agent $QD$-Learning

no code implementations • 7 Apr 2021 • Yijing Xie, Shaoshuai Mou, Shreyas Sundaram

This paper considers the multi-agent reinforcement learning (MARL) problem for a networked (peer-to-peer) system in the presence of Byzantine agents.

Multi-agent Reinforcement Learning Q-Learning