Learning to Coordinate Manipulation Skills via Skill Behavior Diversification

By Youngwoon Lee, Jingyun Yang, Joseph J. Lim. 2020

100 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Sven Gronauer
2. Jiechuan Jiang
3. Zongqing Lu
4. Klaus-Jürgen Diepold
5. Afshin Oroojlooyjadid
6. Davood Hajinezhad
7. Yuhang Zhao
8. Yongyuan Liang

Citations in the corpus

• Multi-agent deep reinforcement learning: a survey (2021, methodology): “Another work by Lee et al. (2020) proposed a hierarchical method to coordinate two agents on robotic manipulation and loco-motion tasks to accomplish collaboration such as object pick and placement.”
• The Emergence of Individuality in Multi-Agent Reinforcement Learning (2020, methodology): “Learning low-level skills for each agent using DIAYN is considered in [10, 11], where agents’ diverse low-level skills are coordinated by the high-level policy.”