Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models.
Khaing Phyo WaiMinghong GengBudhitama SubagdjaShubham PateriaAh-Hwee TanPublished in: AAMAS (2023)
Keyphrases
- learning models
- multi agent
- reinforcement learning
- learning algorithm
- multiple agents
- machine learning
- loss function
- learning tasks
- learning problems
- machine learning algorithms
- hidden markov models
- conditional random fields
- semi supervised learning
- classification models
- learning paradigms
- machine learning models
- sparse metric learning
- labeled data
- principal component analysis
- classification accuracy
- genetic algorithm