Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks.
Xinning ChenXuan LiuYanwen BaShigeng ZhangBo DingKenli LiPublished in: ECAI (2023)
Keyphrases
- reinforcement learning
- multi agent
- learning algorithm
- online learning
- multi task
- learning speed
- multiple tasks
- multi task learning
- learning process
- learning tasks
- learning systems
- learning problems
- supervised learning
- training samples
- learning capabilities
- partially observable environments
- structured prediction
- neural network
- training process
- sparse representation
- active learning
- prior knowledge
- artificial neural networks
- e learning
- machine learning