In autonomous driving (AD) tasks, data-driven deep reinforcement learning (DRL) outperforms rule-based methods in terms of continuous decision-making and adaptability. However, traditional DRL relies ...

Land combat may be described as a nonlinear dynamical system composed of many interacting semi autonomous and hierarchically organized agent continuously adapting to a changing environment. From this ...

Since the pandemic it has become readily apparent that our global supply chains are very complex, and in some cases, very ...