Inherently Explainable Reinforcement Learning in Natural Language.
Xiangyu PengMark O. RiedlPrithviraj AmmanabroluPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- natural language
- function approximation
- machine learning
- state space
- knowledge representation
- temporal difference
- natural language interface
- semantic representation
- language processing
- semantic analysis
- markov decision processes
- semantic interpretation
- robotic control
- control problems
- model free
- optimal control
- information extraction
- dynamic programming
- optimal policy
- reinforcement learning algorithms
- learning process
- learning algorithm
- natural language generation
- information retrieval
- policy gradient
- direct policy search
- maximum entropy models
- database
- temporal difference learning
- formal language
- natural language understanding
- real time