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cs.LG2025
Periodic Skill Discovery
Jonghae Park, Daesol Cho, Jusuk Lee +3
Unsupervised skill discovery in reinforcement learning (RL) aims to learn diverse behaviors without relying on external rewards. However, current methods often overlook the periodi…
cs.RO2025
Leveraging Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning
Gawon Lee, Daesol Cho, H. Jin Kim
Multi-task reinforcement learning (MTRL) offers a promising approach to improve sample efficiency and generalization by training agents across multiple tasks, enabling knowledge sh…