Safe Reinforcement Learning via Curriculum Induction.
Matteo TurchettaAndrey KolobovShital ShahAndreas KrauseAlekh AgarwalPublished in: NeurIPS (2020)
Keyphrases
- reinforcement learning
- function approximation
- machine learning
- high school
- inductive learning
- program synthesis
- temporal difference
- supervised learning
- optimal policy
- learning algorithm
- robotic control
- model free
- dynamic programming
- inductive logic programming
- markov decision processes
- state space
- constructive induction
- sequence prediction
- multi agent
- learning problems
- transfer learning
- action selection
- version space
- multi agent reinforcement learning
- curriculum development
- computer science curriculum