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Bo Leng

2 accepted papers

2025

HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving

NeurIPS 2025poster

Integrating the understanding and reasoning capabilities of Large Language Models (LLM) with the self-learning capabilities of Reinforcement Learning (RL) enables more reliable driving performance under complex driving conditions. There has been a lot of work exploring LLM-Dominated RL methods in th…

Cited by 0SourceScholar
2025

Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving

RA-L 2025

Reinforcement Learning (RL) is increasingly used in autonomous driving (AD) and shows clear advantages. However, most RL-based AD methods overlook policy structure design. An RL policy that only outputs short-timescale vehicle control commands results in fluctuating driving behavior due to fluctuati

Cited by 3SourceScholar