Imagination-augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
SH Lee, Y Jung, SW Seo - arXiv preprint arXiv:2311.10309, 2023 - arxiv.org
Hierarchical reinforcement learning (HRL) has led to remarkable achievements in diverse
fields. However, existing HRL algorithms still cannot be applied to real-world navigation …
fields. However, existing HRL algorithms still cannot be applied to real-world navigation …
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning
L Wu, K Chen - arXiv preprint arXiv:2404.12999, 2024 - arxiv.org
Exploration efficiency poses a significant challenge in goal-conditioned reinforcement
learning (GCRL) tasks, particularly those with long horizons and sparse rewards. A primary …
learning (GCRL) tasks, particularly those with long horizons and sparse rewards. A primary …