Prefix Prompt before interacting with HighwayEnv.

Source publication

Figure 1: Cumulative reward on LANE-3-DENSITY-2 with progressively...

Figure 8: Architecture of (a) Policy networks (transformer encoders) π...

Figure 9: State features under KinematicObservation setting.

Figure 10: Prefix Prompt before interacting with HighwayEnv.

Figure 11: Interaction between the LLM-based agent and the HighwayEnv...

Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving

Preprint

Full-text available

Oct 2024

Sihao Wu
Jiaxu Liu
Xiangyu Yin
[...]
Xiaowei Huang

The integration of Large Language Models (LLMs) into autonomous driving systems demonstrates strong common sense and reasoning abilities, effectively addressing the pitfalls of purely data-driven methods. Current LLM-based agents require lengthy inference times and face challenges in interacting with real-time autonomous driving environments. A key...