Rujikorn Charakorn - Google Scholar

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	All	Since 2017
Citations	14	14
h-index	2	2
i10-index	1	1

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2020202120221 9 4

Co-authors

Nat DilokthanakulFaculty of Information Technology, KMITLVerified email at kmitl.ac.th
Poramate ManoonpongProfessor, SDU, VISTEC, NUAAVerified email at mmmi.sdu.dk
Nick PawlowskiSenior Researcher, Microsoft ResearchVerified email at microsoft.com
Sirawaj ItthipuripatNeuroscience Center for Research and Innovation, KMUTTVerified email at mail.kmutt.ac.th

Rujikorn Charakorn

Rujikorn Charakorn

Ph.D student at Information Science and Technology (IST), VISTEC.

Verified email at vistec.ac.th - Homepage

Artificial Intelligence Machine Learning Deep Learning Reinforcement Learning Multi-Agent System


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An explicit local and global representation disentanglement framework with applications in deep clustering and unsupervised object detection R Charakorn, Y Thawornwattana, S Itthipuripat, N Pawlowski, ... arXiv preprint arXiv:2001.08957, 2020	11	2020
Investigating Partner Diversification Methods in Cooperative Multi-agent Deep Reinforcement Learning R Charakorn, P Manoonpong, N Dilokthanakul International Conference on Neural Information Processing, 395-402, 2020	2	2020
Learning to Cooperate with Unseen Agents Through Meta-Reinforcement Learning R Charakorn, P Manoonpong, N Dilokthanakul Proceedings of the 20th International Conference on Autonomous Agents and …, 2021	1	2021

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Articles 1–3