Predictive Synthesis of Quantum Materials by Probabilistic Reinforcement Learning.
Pankaj RajakAravind KrishnamoorthyAnkit MishraRajiv K. KaliaAiichiro NakanoPriya VashishtaPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- bayesian networks
- generative model
- function approximation
- probabilistic model
- program synthesis
- state space
- logic synthesis
- function approximators
- uncertain data
- quantum computing
- multi agent
- materials science
- probabilistic approaches
- mechanical properties
- quantum inspired
- posterior probability
- probability theory
- data sets
- markov decision processes
- information theoretic
- supervised learning
- machine learning
- data mining