Multi-agent reinforcement learning in spatial domain tasks using inter subtask empowerment rewards

• Main Authors: PATERIA, Shubham, SUBAGDJA, Budhitama, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Multi-agent Coordination; Reinforcement Learning; search and rescue; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6199
• Institution: Singapore Management University

In the complex multi-agent tasks, various agents must cooperate to distribute relevant subtasks among each other to achieve joint task objectives. An agent's choice of the relevant subtask changes over time with the changes in the task environment state. Multi-agent Hierarchical Reinforcement L...