A Natural Language Argumentation Interface for Explanation Generation in Markov Decision Processes.
Thomas DodsonNicholas MatteiJudy GoldsmithPublished in: ExaCt (2011)
Keyphrases
- markov decision processes
- natural language
- optimal policy
- state space
- reinforcement learning
- finite state
- transition matrices
- dynamic programming
- policy iteration
- planning under uncertainty
- model based reinforcement learning
- reachability analysis
- reinforcement learning algorithms
- partially observable
- decision processes
- machine learning
- markov decision process
- factored mdps
- knowledge representation
- state and action spaces
- risk sensitive
- decision theoretic planning
- finite horizon
- average cost
- infinite horizon
- action space
- action sets
- function approximation
- dynamical systems