Language as an Abstraction for Hierarchical Deep Reinforcement Learning.
Yiding JiangShixiang GuKevin MurphyChelsea FinnPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- state abstraction
- function approximation
- hierarchical reinforcement learning
- data abstraction
- state space
- programming language
- multiple layers
- natural language
- language learning
- hierarchical model
- model free
- robotic control
- reinforcement learning algorithms
- multi agent
- high level
- machine learning
- transfer learning
- language processing
- temporal difference
- optimal policy
- search algorithm
- multi agent reinforcement learning
- artificial intelligence
- decision theoretic planning
- neural network