Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Reference65 articles.
1. Arora S, Doshi P, 2021. A survey of inverse reinforcement learning: challenges, methods and progress. Artif Intell, 297:103500. https://doi.org/10.1016/j.artint.2021.103500
2. Arulkumaran K, Deisenroth MP, Brundage M, et al., 2017. Deep reinforcement learning: a brief survey. IEEE Signal Process Mag, 34(6):26–38. https://doi.org/10.1109/MSP.2017.2743240
3. Bailey JP, Piliouras G, 2019. Multi-agent learning in network zero-sum games is a Hamiltonian system. Proc 18th Int Conf on Autonomous Agents and Multiagent Systems, p.233–241.
4. Balduzzi D, Racanière S, Martens J, et al., 2018. The mechanics of n-player differentiable games. Proc 35th Int Conf on Machine Learning, p.354–363.
5. Baltrušaitis T, Ahuja C, Morency LP, 2019. Multimodal machine learning: a survey and taxonomy. IEEE Trans Patt Anal Mach Intell, 41(2):423–443. https://doi.org/10.1109/TPAMI.2018.2798607
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