Artificial Development by Reinforcement Learning Can Benefit From Multiple Motivations.
FRONTIERS IN ROBOTICS AND AI(2019)
摘要
Research on artificial development, reinforcement learning, and intrinsic motivations like curiosity could profit from the recently developed framework of multi-objective reinforcement learning. The combination of these ideas may lead to more realistic artificial models for life-long learning and goal directed behavior in animals and humans.
更多查看译文
关键词
reinforcement learning,multi-objective,actor-critic design,artificial curiosity,artificial cognition,intrinsic motivation
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