Reinforcement learning in large, structured action spaces: A simulation study of decision support for spinal cord injury rehabilitation.
Nathan PhelpsStephanie MarroccoStephanie CornellDalton L. WolfeDaniel J. LizottePublished in: CoRR (2023)
Keyphrases
- simulation study
- spinal cord injury
- action space
- decision support
- reinforcement learning
- state space
- state and action spaces
- continuous state
- markov decision processes
- decision support system
- real valued
- brain computer interface
- reinforcement learning methods
- decision makers
- monte carlo
- motor imagery
- control policies
- action selection
- skill learning
- markov decision process
- continuous state spaces
- state action
- function approximators
- function approximation
- markov chain
- data warehouse
- decision making
- reinforcement learning algorithms
- stochastic processes
- optimal policy
- finite state
- probability distribution
- model free
- machine learning
- dynamic programming
- policy search
- dynamical systems
- learning algorithm