A Belief-Driven Hybrid Reinforcement Learning Framework for Decentralized Multi-Robot Navigation Under Partial Observability
Decentralized multi-robot navigation is difficult when robots must act from local observations without centralized coordination or explicit inter-robot communication. A belief-driven hybrid reinforcement learning framework is evaluated for planar multi-robot navigation under partial observability. Each robot builds a c...