Active Feedback Learning with Rich Feedback
HRI(2021)
摘要
ABSTRACTIn this paper, we proposed rich feedback which contains multiple types of feedback to allow human teachers to provide a variety of useful information to the learning agent and modified Policy Shaping to accumulate the effects of rich feedback. Then we designed the ALPHA framework to actively request rich feedback and further developed it to use Deep Learning. The experimental results showed ALPHA with rich feedback can greatly improve learning and quickly lead the learning agent to the optimal solution.
更多查看译文
关键词
Human-Robot Interaction, Interactive Reinforcement Learning, Deep Learning, Rich Feedback
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要