Generating Explanations from Deep Reinforcement Learning Using Episodic Memory.
Sam BlakemanDenis MareschalPublished in: CoRR (2022)
Keyphrases
- generating explanations
- episodic memory
- reinforcement learning
- cognitive architecture
- spreading activation
- language understanding
- natural language understanding
- design space
- multiple features
- function approximation
- transfer learning
- learning algorithm
- feature space
- case study
- semantic analysis
- machine learning
- computational model
- co occurrence
- learning process