Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution.
Yong HuangRui CaoAmir-Mohammad RahmaniPublished in: MLHC (2022)
Keyphrases
- action space
- reinforcement learning
- state space
- markov decision processes
- state and action spaces
- real valued
- continuous state spaces
- continuous state
- stochastic processes
- action selection
- control policies
- function approximators
- state action
- learning algorithm
- markov decision process
- single agent
- state variables
- dynamic programming
- machine learning
- function approximation
- optimal policy
- optimal solution
- continuous action
- control problems
- heuristic search
- markov chain
- probability distribution