Relational Markov Decision Processes: Promise and Prospects.
Saket JoshiRoni KhardonPrasad TadepalliAlan FernAswin RaghavanPublished in: AAAI Workshop: Statistical Relational Artificial Intelligence (2013)
Keyphrases
- markov decision processes
- decision diagrams
- optimal policy
- state space
- transition matrices
- policy iteration
- relational data
- finite state
- reinforcement learning
- reachability analysis
- finite horizon
- planning under uncertainty
- average cost
- relational databases
- partially observable
- reinforcement learning algorithms
- decision processes
- dynamic programming
- decision theoretic planning
- infinite horizon
- action space
- average reward
- risk sensitive
- markov decision process
- model based reinforcement learning
- action sets
- statistical relational learning
- factored mdps
- multi relational
- state and action spaces
- state abstraction
- relational learning