Shielded Reinforcement Learning: A review of reactive methods for safe learning
Author:
Affiliation:
1. Basque Research and Technology Alliance (BRTA),Ikerlan Technology Research Centre,Arrasate,Mondragon,20500
2. MGEP, Mondragon Unibertsitatea,Arrasate-Mondragon Gipuzkoa,Spain,20500
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10038976/10039084/10039301.pdf?arnumber=10039301
Reference27 articles.
1. Safe Reinforcement Learning via Shielding
2. Safe Reinforcement Learning Using Probabilistic Shields;jansen;31st International Conference on Concurrency Theory CONCUR 2020,0
3. Benchmarking safe exploration in deep reinforcement learning;ray;ArXiv Preprint,2019
4. Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments
5. Safe multi-agent reinforcement learning via shielding;elsayed-aly;ArXiv Preprint,2021
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1. Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
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