Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems.
Yaodong YangJun LuoYing WenOliver SlumbersDaniel GravesHaitham Bou-AmmarJun WangMatthew E. TaylorPublished in: AAMAS (2021)
Keyphrases
- learning systems
- real world
- multi agent
- learning resources
- learning process
- learning environment
- computer supported
- learning styles
- machine learning
- data sets
- case study
- learning materials
- multi agent systems
- data mining
- cooperative
- multiagent systems
- high school
- statistical machine learning
- support systems
- reinforcement learning
- information sharing
- technology enhanced learning systems