Inherently Explainable Reinforcement Learning in Natural Language.
Xiangyu PengMark O. RiedlPrithviraj AmmanabroluPublished in: NeurIPS (2022)
Keyphrases
- reinforcement learning
- natural language
- machine learning
- function approximation
- knowledge representation
- natural language interface
- optimal policy
- state space
- model free
- natural language processing
- stochastic approximation
- learning process
- semantic representation
- robotic control
- multi agent reinforcement learning
- natural language generation
- natural language understanding
- action selection
- dialogue system
- least squares
- learning algorithm
- semantic interpretation
- reinforcement learning algorithms
- language processing
- semantic analysis
- machine translation
- question answering
- dynamic programming
- control problems
- neural network
- learning agents
- temporal difference learning
- information extraction
- maximum entropy models