Structured Experience Replay with Objective-Driven Dense Rewards for Mapless Mobile Robot Navigation Using Deep Q-Networks
Autonomous mobile robot navigation in unknown environments remains challenging due to sparse reward signals, unstable value estimation, and action-selection imbalance in Deep Q-Networks (DQN). This paper presents a DQN-based mapless navigation framework that combines objective-driven dense reward shaping with a structu...