HogRider: Champion agent of Microsoft Malmo collaborative AI challenge

• Main Authors: Xiong, Yanhai, Chen, Haipeng, Zhao, Mengchen, An, Bo
• Other Authors: Interdisciplinary Graduate School (IGS)
• Format: Conference or Workshop Item
• Language: English
• Published: 2018
• Subjects: Opponent Modeling; Multiagent Learning
• Online Access: https://hdl.handle.net/10356/87236; http://hdl.handle.net/10220/44897; https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16385
• Institution: Nanyang Technological University

It has been an open challenge for self-interested agents to make optimal sequential decisions in complex multiagent systems, where agents might achieve higher utility via collaboration. The Microsoft Malmo Collaborative AI Challenge (MCAC), which is designed to encourage research relating to various...