Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining 论文
2009引用 220
Reinforcement Learning in RoboticsRobot Manipulation and LearningMachine Learning and Data Classification
摘要
We introduce a skill discovery method for reinforcement learning in continuous domains that constructs chains of skills leading to an end-of-task reward. We demonstrate experimentally that it creates appropriate skills and achieves perfor-mance benefits in a challenging continuous domain. 1