Induction of Subgoal Automata for Reinforcement Learning.
Daniel Furelos-BlancoMark LawAlessandra RussoKrysia BrodaAnders JonssonPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- cellular automata
- function approximation
- machine learning
- reinforcement learning algorithms
- finite state
- goal oriented
- finite automata
- state space
- optimal policy
- program synthesis
- multi agent
- sequence prediction
- learning algorithm
- temporal difference learning
- constructive induction
- data sets
- markov decision process
- probabilistic automata
- rule induction
- finite state machines
- regular expressions
- inductive learning
- model free
- markov decision processes
- reinforcement learning methods
- partial order
- inductive logic programming
- concept formation
- learning automata
- tree automata
- explanation based learning
- action selection
- multi agent reinforcement learning
- transfer learning
- markov chain