Imitation Learning of Team-play in Multiagent System based on Hidden Markov Modeling

This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model (HMM) to represent cooperative behaviors of teamworks. The key of the

• Type: Conference
• Year: 2003
• Where: IJCAI
• Authors: Itsuki Noda
• Keywords: Abstract Local Situations, Hierarchical Hidden Markov Model, IJCAI 2003, IJCAI 2007, Paper Addresses Agents