Induction and Exploitation of Subgoal Automata for Reinforcement Learning.
Daniel Furelos-BlancoMark LawAnders JonssonKrysia BrodaAlessandra RussoPublished in: J. Artif. Intell. Res. (2021)
Keyphrases
- reinforcement learning
- function approximation
- machine learning
- cellular automata
- finite state
- finite automata
- state space
- regular expressions
- markov decision processes
- genetic algorithm
- goal oriented
- model free
- supervised learning
- inductive logic programming
- exploration exploitation tradeoff
- transition model
- reinforcement learning algorithms
- inductive learning
- optimal control
- partial order
- lattice gas
- explanation based learning
- program synthesis
- learning problems
- multi agent
- tree automata
- version space
- probabilistic automata
- turing machine
- constructive induction
- concept formation
- feature selection
- function approximators
- subgroup discovery
- reward function
- learning process
- inductive inference
- rough sets
- finite state machines
- concept learning