19 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.RO2023★ 19 cited
Distributed multi-agent target search and tracking with Gaussian process and reinforcement learning
Jigang Kim, Dohyun Jang, H. Jin Kim
Deploying multiple robots for target search and tracking has many practical applications, yet the challenge of planning over unknown or partially known targets remains difficult to…
cs.LG2022★ 3 cited
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning
Seungjae Lee, Jigang Kim, Inkyu Jang +1
Hierarchical Reinforcement Learning (HRL) has made notable progress in complex control tasks by leveraging temporal abstraction. However, previous HRL algorithms often suffer from…
cs.LG2022★ 9 cited
Automating Reinforcement Learning with Example-based Resets
Jigang Kim, J. hyeon Park, Daesol Cho +1
Deep reinforcement learning has enabled robots to learn motor skills from environmental interactions with minimal to no prior knowledge. However, existing reinforcement learning al…