Using Control Theory and Bayesian Reinforcement Learning for Policy Management in Pandemic Situations.
Heena RathoreAbhay SamantPublished in: ICC Workshops (2021)
Keyphrases
- control theory
- bayesian reinforcement learning
- optimal policy
- dynamical systems
- partially observable markov decision processes
- monte carlo tree search
- reinforcement learning
- control law
- state space
- linear systems
- differential equations
- markov decision processes
- variable structure
- decision problems
- humanoid robot
- markov decision problems
- dynamic programming
- finite state
- machine learning
- infinite horizon
- partially observable
- markov decision process