Tackling Snow-Induced Challenges: Safe Autonomous Lane-Keeping with Robust Reinforcement Learning

arXiv:2512.12987 · cs.RO, cs.AI, cs.CV, cs.LG · Submitted 2025-12-15 · Read on arXiv

cs.RO, cs.AI, cs.CV, cs.LG

Submitted: 2025-12-15

Updated: 2025-12-15

DOI: 10.1109/TIV.2026.3733200

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Robustness — 22× in this paper · explained in 5 episodes
• Actor — 15× in this paper · explained in 3 episodes
• Reinforcement Learning — 11× in this paper · explained in 4 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Attention Mechanism — 7× in this paper · explained in 2 episodes
• Action Space — 6× in this paper · explained in 1 episode
• Steering — 6× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 5× in this paper · explained in 2 episodes
• Adversarial Robustness — 3× in this paper · explained in 3 episodes
• Core — 3× in this paper · explained in 2 episodes
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Reward Function — 3× in this paper · explained in 2 episodes
• Adaptability — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Adversarial Attacks — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Deep Reinforcement Learning (DRL) — 2× in this paper · explained in 2 episodes
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Hybrid Models — 1× in this paper · explained in 2 episodes
• Q-learning — 1× in this paper · explained in 3 episodes
• Root Mean Square Error — 1× in this paper
• Soft Actor-Critic (SAC) — 1× in this paper · explained in 2 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes

Sources

• Robust Temporal Difference Learning for Critical Domains
• Road Surface Friction Estimation for Winter Conditions Utilising General Visual Features

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