Improving Probabilistic Bisimulation for MDPs Using Machine Learning.
MohammadSadegh MohagheghiKhayyam SalehiPublished in: CoRR (2023)
Keyphrases
- machine learning
- reinforcement learning
- markov decision processes
- probabilistic planning
- bayesian networks
- artificial intelligence
- machine learning methods
- probabilistic model
- model selection
- natural language
- probabilistic logic
- decision trees
- machine learning approaches
- uncertain data
- learning problems
- learning tasks
- statistical methods
- data mining
- factored mdps
- learning algorithm
- pattern recognition
- state space
- dynamic programming
- inductive logic programming
- decision theoretic planning
- computer vision
- transition probabilities
- explanation based learning
- data analysis
- active learning
- markov chain
- least squares
- supervised learning
- natural language processing
- machine learning algorithms
- computational intelligence