Selected Recent Publications:
- “Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics”, UAI-23, link
- “Utilizing prior solutions for reward shaping and composition in entropy-regularized reinforcement learning”, AAAI-23, link
- “Entropy regularized reinforcement learning using large deviation theory”, Phys. Rev. Research, link
- “Stochastic modeling of phenotypic switching and chemoresistance in cancer cell populations”, Scientific Reports, link
- “A free energy based approach for distance metric learning”, KDD-19, link
- “Stochastic gene expression conditioned on large deviations”, Physical Biology, link
Google Scholar profile:
https://scholar.google.com/citations?hl=en&user=N2VGOpkAAAAJ