activity
20232026
most citedCQM: Curriculum Reinforcement Learning with a Quantized World Model

2 citations · 2 across the 8 of their papers we have counts for

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2 papers · 1 filter

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…