Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models.
Khaing Phyo WaiMinghong GengShubham PateriaBudhitama SubagdjaAh-Hwee TanPublished in: AAMAS (2024)
Keyphrases
- learning models
- multi agent
- reinforcement learning
- learning algorithm
- multiple agents
- machine learning
- learning problems
- learning paradigms
- learning tasks
- loss function
- hidden markov models
- machine learning algorithms
- semi supervised learning
- conditional random fields
- machine learning models
- classification models
- pairwise
- feature extraction
- learning process
- evolutionary algorithm
- real world
- probabilistic model
- unsupervised learning
- artificial neural networks
- training data
- image segmentation
- image processing