https://www.youngju.dev/blog 천천히 올바르게. AI Researcher & DevOps Engineer Youngju's tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering. ko fjvbn2003@gmail.com (Youngju Kim) fjvbn2003@gmail.com (Youngju Kim) Mon, 29 Jun 2026 00:00:00 GMT https://www.youngju.dev/blog/ai-papers/2026-06-29-imitation-vs-reinforcement-learning-robots.en https://www.youngju.dev/blog/ai-papers/2026-06-29-imitation-vs-reinforcement-learning-robots.en An overview of the four ways robots acquire skills, followed by a deep look at imitation learning (teleoperation, behavioral cloning, DAgger) and reinforcement learning (rewards, policies, exploration): their principles, strengths and weaknesses, differences in data efficiency, and how the two are combined, illustrated with diagrams and comparison tables. Mon, 29 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersroboticsimitation-learningreinforcement-learningrobot-learningvla https://www.youngju.dev/blog/ai-papers/2026-06-29-imitation-vs-reinforcement-learning-robots.ja https://www.youngju.dev/blog/ai-papers/2026-06-29-imitation-vs-reinforcement-learning-robots.ja ロボットが技能を獲得する四つの方法を概観し、模倣学習(テレオペレーション・行動クローニング・DAgger)と強化学習(報酬・方策・探索)の原理、長所と短所、データ効率の違い、そして両者を組み合わせる方法を、図と比較表で整理します。 Mon, 29 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersroboticsimitation-learningreinforcement-learningrobot-learningvla https://www.youngju.dev/blog/ai-papers/2026-06-29-imitation-vs-reinforcement-learning-robots https://www.youngju.dev/blog/ai-papers/2026-06-29-imitation-vs-reinforcement-learning-robots 로봇이 기술을 습득하는 네 가지 방식을 개괄하고, 모방학습(텔레오퍼레이션·행동 복제·DAgger)과 강화학습(보상·정책·탐험)의 원리와 장단점, 데이터 효율의 차이, 그리고 두 접근을 결합하는 방법을 다이어그램과 비교표로 정리합니다. Mon, 29 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersroboticsimitation-learningreinforcement-learningrobot-learningvla