Induction of Subgoal Automata for Reinforcement Learning.
Daniel Furelos-BlancoMark LawAlessandra RussoKrysia BrodaAnders JonssonPublished in: AAAI (2020)
Keyphrases
- reinforcement learning
- machine learning
- cellular automata
- function approximation
- state space
- inductive learning
- markov decision processes
- reinforcement learning algorithms
- learning process
- optimal policy
- goal oriented
- sequence prediction
- partial order
- model free
- finite state automata
- robotic control
- constructive induction
- finite automata
- probabilistic automata
- finite state
- dynamic programming
- learning algorithm
- finite state machines
- optimal control
- inductive logic programming
- transfer learning
- policy search
- neural network
- action selection
- real robot
- learning automata
- supervised learning
- multi agent reinforcement learning
- functional programs