Author

Boxiong Wang

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Preprint Aug 2026

RefineFly: Failure-Aware Post-Training for Aerial Vision-Language Navigation

RefineFly, a failure-aware RL post-training framework for end-to-end UAV-VLA policies, built on token-level proximal policy optimization (PPO), maintains dynamic failure memory within a two-stage scene curriculum to sustain learning from unresolved tasks as training shifts from empirical to balanced scene sampling.

Boxiong Wang, Hui Kang, Geng Sun et al. · 0 citations

#artificial intelligence Preprint Aug 2026

RecoverFly: A Failure-Aware Reinforcement Learning Post-Training Framework for Aerial Vision-Language Navigation

RecoverFly is proposed, a failure-aware RL post-training framework for end-to-end UAV-VLA policies that adapts token-level RL for stable optimization of grammar-constrained autoregressive UAV actions, revisits unresolved failure cases to strengthen corrective learning and sample utilization, and combines a two-stage lo...

Boxiong Wang, Hui Kang, Geng Sun et al. · 0 citations