Learning-to-Learn Agent Adaptation Policy for Abstractive Summarization.
Hongzhang MuTingwen LiuHongbo XuPublished in: IJCNN (2022)
Keyphrases
- reinforcement learning
- learning algorithm
- learning process
- learning systems
- iterative learning
- partially observable
- agent learns
- learning agent
- learning mechanism
- online learning
- supervised learning
- mobile agents
- multiagent systems
- mobile learning
- software agents
- agent model
- dynamic environments
- adaptation process
- state space
- autonomous learning
- facilitate learning
- neural network