This repository maintains a categorized collection of academic papers on deep reinforcement learning. Papers are organized into bookmarks spanning value methods, policy optimization, discrete and continuous control, robotics, games, and other RL subtopics. The list is sorted chronologically to highlight recent work. The repository serves as a reference bibliography for researchers and practitioners studying deep RL.