Diffusion Policies for Short-Horizon Planning in Robot Crowd Navigation

arXiv:2608.27158 · cs.LG · Submitted 2026-08-27 · Read on arXiv

cs.LG

Submitted: 2026-08-27

Updated: 2026-08-27

Terminology

• Benchmark — 22× in this paper · explained in 2 episodes
• Fine-Tuning — 14× in this paper · explained in 5 episodes
• Reinforcement Learning — 13× in this paper · explained in 4 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Online Reinforcement Learning — 6× in this paper · explained in 2 episodes
• Planning Diffusion Policy Optimization — 5× in this paper
• Action Chunking — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 4× in this paper · explained in 2 episodes
• Latent Representation — 3× in this paper · explained in 2 episodes
• Actor — 2× in this paper · explained in 3 episodes
• Agent Interactions — 2× in this paper · explained in 1 episode
• Diffusion Process — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Markov Decision Process — 2× in this paper
• Proximal Policy Optimization — 2× in this paper
• Adaptability — 1× in this paper · explained in 1 episode
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 4 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes

Sources

• Proximal Policy Optimization Algorithms

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