This is a curated academic bibliography organizing references across optimal control, reinforcement learning, and motion planning. It categorizes papers by subtopics including RL theory, value-based and policy-based methods, model-based RL, multi-agent systems, representation learning, and learning from demonstrations. The repository also covers related areas such as game theory, multi-armed bandits, robust control, and imitation learning.