Generalization through diversity: Improving unsupervised environment design

• Main Authors: LI, Wenjun, VARAKANTHAM, Pradeep, LI, Dexun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Planning and Scheduling; Search in planning and scheduling; Machine Learning; Deep reinforcement learning; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8099; https://ink.library.smu.edu.sg/context/sis_research/article/9102/viewcontent/Generalization_0601_pvoa.pdf
• Institution: Singapore Management University

Agent decision making using Reinforcement Learning (RL) heavily relies on either a model or simulator of the environment (e.g., moving in an 8x8 maze with three rooms, playing Chess on an 8x8 board). Due to this dependence, small changes in the environment (e.g., positions of obstacles in the maze,...