Language as an Abstraction for Hierarchical Deep Reinforcement Learning.
Yiding JiangShixiang GuKevin MurphyChelsea FinnPublished in: NeurIPS (2019)
Keyphrases
- reinforcement learning
- programming language
- language learning
- state abstraction
- function approximation
- hierarchical reinforcement learning
- natural language
- coarse to fine
- data abstraction
- operational semantics
- specification language
- modeling language
- database
- hierarchical structure
- machine learning
- learning problems
- state space
- dynamic programming
- model free
- language processing
- temporal difference
- target language
- learning process
- search algorithm
- multiscale
- multiple layers
- database systems
- transition model