A Markov Decision Processes Modeling for Curricular Analytics.
Ahmad SlimHusain Al YusufNadine AbbasChaouki T. AbdallahGregory L. HeilemanAmeer SlimPublished in: ICMLA (2021)
Keyphrases
- markov decision processes
- optimal policy
- finite state
- state space
- policy iteration
- dynamic programming
- transition matrices
- model based reinforcement learning
- planning under uncertainty
- reinforcement learning
- decision theoretic planning
- reinforcement learning algorithms
- average reward
- risk sensitive
- partially observable
- reachability analysis
- finite horizon
- factored mdps
- markov decision process
- average cost
- decision processes
- action sets
- semi markov decision processes
- real time dynamic programming
- stochastic shortest path
- reward function
- infinite horizon
- long run
- learning analytics
- multiagent systems
- linear programming
- search algorithm