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David Silver Lecture Notes:

Lec No. Heading Link
2. Markov Decision Process https://hackmd.io/s_4pDFppQsifr8Q-7Ri-LQ
3. Planning by dynamic programming https://hackmd.io/cJIDKE3nQ4yLQMYmyEgC2w
5. Model Free Control https://hackmd.io/9UOf13dnTTGN5QaGmKEUHg
6. Value Function Approximation https://hackmd.io/GAGtCNGHSQamAgxGd3B_GA

VQA Paper Notes:

NOTE: Many Notes contain only the introduction, motivation/novelty and the model architecture. Completed notes will be subsequently pushed to the IvLabs' Research Paper Notes repository.

Sr.No. Name Paper Link Notes
1. Answer Them All! Toward Universal Visual Question Answering Models https://arxiv.org/abs/1903.00366 https://hackmd.io/X3dr2qeaTWOPCYtajhW16A
2. TallyQA Answering Complex Counting Questions https://arxiv.org/abs/1810.12440 https://hackmd.io/I_vuiOexSEC45XMFDpeBTA
3. Learning to Answer Questions From Image Using Convolutional Neural Network https://arxiv.org/abs/1506.00333 https://hackmd.io/VReJUQKJRiKypKpGBCDLqw
4. A Focused Dynamic Attention Model for Visual Question Answering https://arxiv.org/abs/1604.01485 https://hackmd.io/UWmL5TyUTxmzPQNe4X5IFg
5. ABC-CNN : An Attention Based Convolutional Neural Network for Visual Question Answering https://arxiv.org/abs/1511.05960 https://hackmd.io/rIwLt62kTkSeD0ZcV278aw
6. Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding https://arxiv.org/abs/1606.01847 https://hackmd.io/6Z1tPhpjQ820EMXVvSz5CQ
7. LS-LLM Language Models Speed Up Local Search for Finding Programmatic Policies https://research.tue.nl/en/publications/language-models-speed-up-local-search-for-finding-programmatic-po https://shore-writer-895.notion.site/LS-LLM-Language-Models-Speed-Up-Local-Search-for-Finding-Programmatic-Policies-172321aa05fa806faa2ed16c0c820646?pvs=4
8. Quailty-Diversity Self-Play: Open-Ended Strategy Innovation via Foundation Models https://openreview.net/forum?id=xPWZTvdobm https://shore-writer-895.notion.site/Quailty-Diversity-Self-Play-Open-Ended-Strategy-Innovation-via-Foundation-Models-172321aa05fa803e9f58f23e061b24ba?pvs=4

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Notes on various ml-related subjects and research papers.

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