Explainable Action Advising for Multi-Agent Reinforcement Learning
Yue Guo,Joseph Campbell,Simon Stepputtis,Ruiyu Li,Dana Hughes,Fei Fang,Katia Sycara,Yue Guo,Joseph Campbell,Simon Stepputtis,Ruiyu Li,Dana Hughes,Fei Fang,Katia Sycara
Action advising is a knowledge transfer technique for reinforcement learning based on the teacher-student paradigm. An expert teacher provides advice to a student during training in order to improve the student's sample efficiency and policy performance. Such advice is commonly given in the form of state-action pairs. However, it makes it difficult for the student to reason with and apply to novel...
