Optimizing marketing planning and budgeting using Markov decision processes: An airline case study.
Abdel LabbiCesar BerrospiPublished in: IBM J. Res. Dev. (2007)
Keyphrases
- markov decision processes
- case study
- macro actions
- planning under uncertainty
- decision theoretic planning
- partially observable
- state space
- finite state
- reinforcement learning
- dynamic programming
- optimal policy
- reachability analysis
- policy iteration
- probabilistic planning
- infinite horizon
- average reward
- finite horizon
- factored mdps
- decision processes
- decision making
- transition matrices
- reinforcement learning algorithms
- partially observable markov decision processes
- planning problems
- action space
- data mining
- model based reinforcement learning
- heuristic search
- domain independent
- risk sensitive
- markov decision process
- state and action spaces
- action sets
- discounted reward
- blocks world
- temporal difference
- ai planning
- initial state