Evaluating Reinforcement Learning Algorithms in Observational Health Settings.
Omer GottesmanFredrik D. JohanssonJoshua MeierJack DentDonghun LeeSrivatsan SrinivasanLinying ZhangYi DingDavid WihlXuefeng PengJiayu YaoIsaac LageChristopher MoschLi-Wei H. LehmanMatthieu KomorowskiAldo FaisalLeo Anthony CeliDavid A. SontagFinale Doshi-VelezPublished in: CoRR (2018)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- model free
- markov decision processes
- state space
- reinforcement learning problems
- eligibility traces
- temporal difference
- learning algorithm
- function approximation
- partially observable environments
- stochastic games
- reinforcement learning methods
- policy search
- reward shaping
- machine learning
- reward function
- data mining
- tabula rasa