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The original version of this article unfortunately contained a mistake. The presentation of Equation (21) was incorrect. The corrected equation is given below.
We present a decision-making framework for modeling the collective behavior of large groups of cooperatively interacting agents based on a continuum description of the agents’ joint state. The continuum model is derived from an agent-based system of locally coupled stochastic differential equations, taking into account that each agent in the group is only partially informed about the global system...
Learning from Demonstrations (LfD) has proven to be a powerful concept for solving optimal control problems in high-dimensional state spaces where demonstrations can be used to facilitate the search for efficient control policies. However, many existing LfD approaches suffer from either theoretical, practical, or computational drawbacks such as the need to learn a latent reward model, to monitor the...
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