Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents.
Zihao WangShaofei CaiGuanzhou ChenAnji LiuXiaojian MaYitao LiangPublished in: NeurIPS (2023)
Keyphrases
- multi task
- open world
- plan execution
- incomplete information
- multi task learning
- learning tasks
- planning domains
- dynamic environments
- closed world
- multi agent systems
- autonomous agents
- multi agent
- multiagent systems
- multi class
- feature selection
- gaussian processes
- query answering
- transfer learning
- sparse learning
- learning problems
- planning problems
- information gain
- machine learning
- data exchange
- knowledge base
- machine learning algorithms
- logic programs