3 accepted papers
Bayesian optimization (BO) is a powerful approach for black-box optimization, and in many real-world problems, domain experts possess valuable prior knowledge about promising regions of the search space. However, existing prior-informed BO methods are often overly complex, tied to specific acquisiti…
Multi-agent adversarial tasks such as swarm robotics and autonomous vehicle coordination, demand efficient decentralized collaboration under partial observability. While model-free multi-agent RL (MF-MARL) methods suffer from necessitating extensive environment interactions, most existing multi-agen
Stationary node data retrieval and adaptive sampling are two important tasks in marine environment monitoring based on autonomous underwater vehicles (AUVs). Enabling AUVs to carry out these two heterogeneous tasks within a single deployment is crucial for the efficient utilization of hardware resou