The Department of Defense (DOD) is seeking proposals for the topic of "Explainable Reinforcement Learning (XRL) for Command and Control (C2)" in their SBIR 24.1 BAA solicitation. The objective of this topic is to develop a prototype that enables practical applications of Reinforcement Learning (RL) to be explained for interpretability, trust, performance-explanation trade-off, accountability, safety, and human-AI collaboration. The technology is restricted under export control laws. The proposal should demonstrate feasibility and prior experience in XRL. Phase II of the project will focus on developing explainable AI/ML solutions using reinforcement learning for command and control applications. Phase III will involve transitioning the technology to a commercial or warfighter solution. The offeror will be responsible for seeking funding opportunities for Phase III.