This repository is a curated collection of deep reinforcement learning papers organized with author summaries and explanations. It covers foundational deep RL work including DQN, AlphaGo, successor representations, and policy distillation, with links to implementations where available. The repository serves as a learning resource for researchers exploring deep RL concepts in gaming and robotics domains.