Privacy-Preserving Prompted Policy Search for Robotic Control

arXiv:2609.30554 · cs.RO, cs.SY, eess.SY · Submitted 2026-09-24 · Read on arXiv

cs.RO, cs.SY, eess.SY

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/Farama-Foundation/HighwayEnv

Terminology

• Reinforcement Learning — 17× in this paper · explained in 4 episodes
• Actor — 5× in this paper · explained in 3 episodes
• Action Space — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 3× in this paper · explained in 2 episodes
• Decode — 2× in this paper · explained in 2 episodes
• Proximal Policy Optimization — 2× in this paper
• Reinforcement Learning (RL) — 2× in this paper · explained in 25 episodes
• Soft Actor-Critic — 2× in this paper
• Clustering — 1× in this paper · explained in 2 episodes
• Deep Q-Network — 1× in this paper
• Federated Learning — 1× in this paper · explained in 14 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 4 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Soft Actor-Critic (SAC) — 1× in this paper · explained in 2 episodes
• Task Planning — 1× in this paper · explained in 2 episodes
• Trust-Region Policy Optimization — 1× in this paper

Sources

• Large Language Models as General Pattern Machines
• Reflective Prompted Policy Optimization: Trajectory-Grounded Revision and Salience Bias
• High-Dimensional Continuous Control Using Generalized Advantage Estimation
• Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
• gpt-oss-120b & gpt-oss-20b Model Card
• Proximal Policy Optimization Algorithms
• Continuous control with deep reinforcement learning

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