Fuzzy Action-Masked Reinforcement Learning Behavior Planning for Highly Automated Driving

[PDF] arxiv.org

A survey on explainable reinforcement learning: Concepts, algorithms, challenges

Y Qing, S Liu, J Song, H Wang, M Song - arXiv preprint arXiv:2211.06665, 2022 - arxiv.org
Reinforcement Learning (RL) is a popular machine learning paradigm where intelligent
agents interact with the environment to fulfill a long-term goal. Driven by the resurgence of …
被引用次数：22 相关文章 所有 3 个版本
[PDF] arxiv.org

Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking

R Stolz, H Krasowski, J Thumm, M Eichelbeck… - arXiv preprint arXiv …, 2024 - arxiv.org
Continuous action spaces in reinforcement learning (RL) are commonly defined as interval
sets. While intervals usually reflect the action boundaries for tasks well, they can be …
相关文章 所有 3 个版本