SeeNav-Agent: Enhancing Vision-Language Navigation with Visual Prompt and Step-Level Policy Optimization

arXiv:2512.02631 · cs.LG · Submitted 2025-12-02 · Read on arXiv

cs.LG

Submitted: 2025-12-02

Updated: 2026-10-27

Terminology

• Visual Prompt — 2× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Existing Vision-Language Navigation — 1× in this paper
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Reinforcement Fine-Tuning — 1× in this paper
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Step Reward Group Policy Optimization — 1× in this paper
• Vision-language models — 1× in this paper · explained in 2 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks