7 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
CQM: Curriculum Reinforcement Learning with a Quantized World Model
Seungjae Lee, Daesol Cho, Jonghae Park +1
Recent curriculum Reinforcement Learning (RL) has shown notable progress in solving complex tasks by proposing sequences of surrogate tasks. However, the previous approaches often…
cs.RO2021★ 7 cited
Fully Distributed Informative Planning for Environmental Learning with Multi-Robot Systems
Dohyun Jang, Jaehyun Yoo, Clark Youngdong Son +1
This paper proposes a cooperative environmental learning algorithm working in a fully distributed manner. A multi-robot system is more effective for exploration tasks than a single…