Learning to Fight Against Cell Stimuli: A Game Theoretic Perspective
Author:
Affiliation:
1. Northeastern University,Department of Electrical and Computer Engineering
Funder
Health
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10194967/10194965/10194997.pdf?arnumber=10194997
Reference24 articles.
1. Reinforcement Learning Data-Acquiring for Causal Inference of Regulatory Networks
2. Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks
3. A review on the computational approaches for gene regulatory network construction
4. Multi-agent deep reinforcement learning: a survey
5. Optimal Recursive Expert-Enabled Inference in Regulatory Networks
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