2 citations · 4 across the 4 of their papers we have counts for
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cs.AI2022★ 1 cited
A Fully Controllable Agent in the Path Planning using Goal-Conditioned Reinforcement Learning
GyeongTaek Lee
The aim of path planning is to reach the goal from starting point by searching for the route of an agent. In the path planning, the routes may vary depending on the number of varia…
cs.AI2022★ 1 cited
Learning user-defined sub-goals using memory editing in reinforcement learning
GyeongTaek Lee
The aim of reinforcement learning (RL) is to allow the agent to achieve the final goal. Most RL studies have focused on improving the efficiency of learning to achieve the final go…