Papers-Literature-ML-DL-RL-AI

Why we included this project

Dr. Tirthajyoti Sarkar maintains this collection of widely cited papers across machine learning, deep learning, and reinforcement learning, filed into themed directories instead of one unwieldy list. The folders span AI hardware, game theory, statistics, learning theory, and applied areas such as manufacturing and IoT, with each one clustering the foundational work you would otherwise have to chase through scattered references. Fairness and ethics papers sit alongside free tutorials and books, so the index works as a starting point for a self-study plan or a course syllabus. It is reading material rather than runnable software, so expect a map to primary sources, not something you install.