Stanislav Safranek

Exploring Agent Behavior and Performance in Shortened Simulations via Multiagent Reinforcement Learning

The findings demonstrate MARL’s promise in solving navigation problems efficiently and provide concrete recommendations for tuning training parameters and network structures to enhance performance and robustness.