Learning Reliable Parking Policies via Offline Reinforcement Learning with Quantized Action Representations

arXiv:2609.19894 · cs.RO · Submitted 2026-09-17 · Read on arXiv

cs.RO

Submitted: 2026-09-17

Updated: 2026-09-17

Terminology

• Reinforcement Learning — 16× in this paper · explained in 4 episodes
• Actor — 7× in this paper · explained in 3 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Regularization — 4× in this paper · explained in 3 episodes
• Reward Function — 4× in this paper · explained in 2 episodes
• Action Space — 3× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Q-learning — 3× in this paper · explained in 3 episodes
• Soft Actor-Critic — 3× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Conservative Q-Learning — 2× in this paper
• Deep Reinforcement Learning — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Action Decoder — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Average Orientation Error — 1× in this paper
• Average Parking Time — 1× in this paper
• Behavior Cloning — 1× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Collision Rate — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Imitation Learning (IL) — 1× in this paper · explained in 2 episodes
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Modular Architecture — 1× in this paper · explained in 4 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Soft Actor-Critic (SAC) — 1× in this paper · explained in 2 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Target Success Rate — 1× in this paper
• Timeout Rate — 1× in this paper
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• MultiPark: Multimodal Parking Transformer with Next-Segment Prediction
• NavDP: Learning Sim-to-Real Navigation Diffusion Policy with Privileged Information Guidance
• Behavior Prior Representation learning for Offline Reinforcement Learning

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