Attention please

What is Bellman Equation?강화학습(Reinforcement Learning)을 이해할 때 가장 중요한 개념 중 하나는 벨만 방정식(Bellman Equation) 입니다. 이 방정식은 Agent가 어떤 상태(state)에서 어떤 행동(action)을 할지 결정하는 데 필요한 "가치(value)"를 수학적으로 정의해줍니다. 강화학습은 Agent가 환경과 상호작용하면서 보상을 최대화하는 방향으로 학습하는 프레임워크입니다. 이때 가장 중요한 질문은 다음과 같습니다."지금 내가 어떤 상태에 있을 때, 어떤 행동을 하는 게 가장 좋을까?" 위 질문에 답하기 위해서는, 각 상태 혹은 행동이 얼마나 "좋은지"를 수치화하여야 합니다. 이를 함수로서 정의한 것이 바로 가치 함수(Value Funct..

이번에 리뷰할 논문은 Mind with Eyes: from Language Reasoning to Multimodal Reasoning 입니다.https://arxiv.org/abs/2503.18071 Mind with Eyes: from Language Reasoning to Multimodal ReasoningLanguage models have recently advanced into the realm of reasoning, yet it is through multimodal reasoning that we can fully unlock the potential to achieve more comprehensive, human-like cognitive capabilities. This surve..

이번에 리뷰할 논문은 VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection 입니다. https://arxiv.org/abs/2308.11681 VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly DetectionThe recent contrastive language-image pre-training (CLIP) model has shown great success in a wide range of image-level tasks, revealing remarkable ability for learning powerfu..

이번에 리뷰할 논문은 Chameleon: Mixed-Modal Early-Fusion FoundationModels 입니다. https://arxiv.org/abs/2405.09818 Chameleon: Mixed-Modal Early-Fusion Foundation ModelsWe present Chameleon, a family of early-fusion token-based mixed-modal models capable of understanding and generating images and text in any arbitrary sequence. We outline a stable training approach from inception, an alignment recipe, and an..

이번에 리뷰할 논문은Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting theDecision Boundary 입니다. https://arxiv.org/abs/2303.11570 Boundary UnlearningThe practical needs of the ``right to be forgotten'' and poisoned data removal call for efficient \textit{machine unlearning} techniques, which enable machine learning models to unlearn, or to forget a fraction of training data and its linea..

이번에 리뷰할 논문은 SAMScore: A Semantic Structural Similarity Metric for Image Translation Evaluation 입니다. https://paperswithcode.com/paper/samscore-a-semantic-structural-similarity/review/ Papers with Code - Paper tables with annotated results for SAMScore: A Semantic Structural Similarity Metric for Image Translati Paper tables with annotated results for SAMScore: A Semantic Structural Similarity Met..