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Author: rl-max

_pages/about.md

@@ -28,9 +28,7 @@ I am a master student in KAIST Graduate school of AI, advised by Prof. [Kimin Le
 
 I am interested in developing a safe and proficient decision-making agent in real-world(e.g., robots). To this end, I aim to develop a method that can extract behavioral rules from existing data efficiently and help the agent continuously self-improve. Relevant topics include imitation learning on human data and developing scalable reinforcement learning (RL) algorithms that can work both on/offline. 
 
-Relevant keywords include imitation learning, hierarchical RL, explorations in RL, and robot learning.
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