Reactive Multi-Fitness Learning for Robust Multiagent Teaming

Multi-robot systems deployed in remote missions for longitudinal tasks (tasks that occur over extended periods of time) are not only required to perform their initial tasks, but also need to react to changes in environmental conditions. In addition, performance in longitudinal missions is often difficult to capture in a single reward function. This work introduces Reactive Multi-Fitness Learning (...