Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems.
Yaodong YangJun LuoYing WenOliver SlumbersDaniel GravesHaitham Bou-AmmarJun WangMatthew E. TaylorPublished in: CoRR (2021)
Keyphrases
- learning systems
- real world
- multi agent
- computer supported
- learning environment
- learning resources
- machine learning
- learning materials
- cooperative
- learning process
- learning styles
- case study
- data sets
- multiagent systems
- data mining
- machine learning systems
- m learning
- statistical machine learning
- technology enhanced learning systems
- domain knowledge
- natural language
- professional development
- adaptive systems