3 accepted papers
Knowledge distillation (KD) has the potential to accelerate multi-agent reinforcement learning (MARL) by employing a centralized teacher for decentralized students. However, centralized teachers in MARL often fail because decentralized student exploration induces out-of-distribution (OOD) state dist…
Coordinating large teams of heterogeneous mobile agents to perform complex tasks efficiently has scalability bottlenecks in feasible and optimal task scheduling, with critical applications in logistics, manufacturing, and disaster response. Existing task allocation and scheduling methods, including…
As human-robot collaboration increases in the workforce, it becomes essential for human-robot teams to coordinate efficiently and intuitively. Traditional approaches for human-robot scheduling either utilize exact methods that are intractable for large-scale problems and struggle to account for stoc…