Preference-Conditioned Multi-Objective Reinforcement Learning for Tactical Decision Making in Heavy-Duty Vehicles

arXiv:2601.18783 · cs.LG, cs.AI, cs.SY, eess.SY · Submitted 2026-01-26 · Read on arXiv

cs.LG, cs.AI, cs.SY, eess.SY

Submitted: 2026-01-26

Updated: 2026-10-09

Terminology

• Reinforcement Learning — 25× in this paper · explained in 4 episodes
• Multi-Objective Reinforcement Learning — 11× in this paper
• Actor — 8× in this paper · explained in 3 episodes
• Energy Efficiency — 7× in this paper · explained in 3 episodes
• Reward Function — 5× in this paper · explained in 2 episodes
• Benchmarking — 4× in this paper · explained in 4 episodes
• Generalized Policy Improvement — 4× in this paper
• Proximal Policy Optimization — 4× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 2 episodes
• Action Space — 3× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 3× in this paper · explained in 3 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Action Masking — 2× in this paper · explained in 1 episode
• Convex Coverage Set — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Sample Efficiency — 2× in this paper · explained in 4 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Intelligent Driver Model — 1× in this paper
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Multi-Objective Markov Decision Process — 1× in this paper
• Objective Function — 1× in this paper · explained in 2 episodes
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 5 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes

Sources

• Multi-Objective Reinforcement Learning for Adaptable Personalized Autonomous Driving

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