Multi-objective safe reinforcement learning: the relationship between multi-objective reinforcement learning and safe reinforcement learning
Sign Up to like & getrecommendations! Published in 2019 at "Artificial Life and Robotics"
DOI: 10.1007/s10015-019-00523-3
Abstract: Reinforcement learning (RL) is a learning method that learns actions based on trial and error. Recently, multi-objective reinforcement learning (MORL) and safe reinforcement learning (SafeRL) have been studied. The objective of conventional RL is to… read more here.
Keywords: objective reinforcement; multi objective; reinforcement learning; safe reinforcement ... See more keywords
Safe reinforcement learning for dynamical systems using barrier certificates
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2151567
Abstract: Safety control is a fundamental problem in policy design. Basic reinforcement learning is effective at learning policy with goal-reaching property. However, it does not guarantee safety property of the learned policy. This paper integrates barrier… read more here.
Keywords: barrier certificates; reinforcement learning; safe reinforcement; policy ... See more keywords
Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value At Risk
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3184793
Abstract: This letter aims to solve a safe reinforcement learning (RL) problem with risk measure-based constraints. As risk measures, such as conditional value at risk (CVaR), focus on the tail distribution of cost signals, constraining risk… read more here.
Keywords: safe reinforcement; policy safe; risk; policy ... See more keywords
Safe Reinforcement Learning Using Robust MPC
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2020.3024161
Abstract: Reinforcement learning (RL) has recently impressed the world with stunning results in various applications. While the potential of RL is now well established, many critical aspects still need to be tackled, including safety and stability… read more here.
Keywords: mpc; control; reinforcement learning; safe reinforcement ... See more keywords
Safe Reinforcement Learning for Active Distribution Networks Reconfiguration Considering Uncertainty
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industry Applications"
DOI: 10.1109/tia.2024.3462663
Abstract: The integration of renewable energy (RE) into the active distribution network (ADN) leads to frequent changes in its operational state, requiring the ADN to be more proactive in ensuring system safety and stability. Active distribution… read more here.
Keywords: active distribution; safety; safe reinforcement; reinforcement learning ... See more keywords
Safe Exploration in Wireless Security: A Safe Reinforcement Learning Algorithm With Hierarchical Structure
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3149396
Abstract: Most safe reinforcement learning (RL) algorithms depend on the accurate reward that is rarely available in wireless security applications and suffer from severe performance degradation for the learning agents that have to choose the policy… read more here.
Keywords: reinforcement learning; safe reinforcement; security; policy ... See more keywords
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3496492
Abstract: Safe reinforcement learning (SRL) aims to realize a safe learning process for deep reinforcement learning (DRL) algorithms by incorporating safety constraints. However, the efficacy of SRL approaches often relies on accurate function approximations, which are… read more here.
Keywords: process; safe reinforcement; reinforcement learning; safety ... See more keywords
Lyapunov-Based Safe Reinforcement Learning for Microgrid Energy Management
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3496932
Abstract: The rapid development of renewable energy sources (RESs) has led to their increased integration into microgrids (MGs), emphasizing the need for safe and efficient energy management in MG operations. We investigate the methods of MG… read more here.
Keywords: energy; safe reinforcement; reinforcement learning; energy management ... See more keywords
Shields for Safe Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2025 at "Communications of the ACM"
DOI: 10.1145/3715958
Abstract: Reinforcement learning (RL) is a prominent machine learning technique used to optimize an agent’s performance in potentially unknown environments. Despite its popularity and success, RL lacks safety guarantees, both during the learning phase and deployment.… read more here.
Keywords: shields safe; safe reinforcement; reinforcement; reinforcement learning ... See more keywords
Safe Reinforcement Learning for Buildings: Minimizing Energy Use While Maximizing Occupant Comfort
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DOI: 10.3390/en18195313
Abstract: With buildings accounting for 40% of global energy consumption, heating, ventilation, and air conditioning (HVAC) systems represent the single largest opportunity for emissions reduction, consuming up to 60% of commercial building energy while maintaining occupant… read more here.
Keywords: comfort; energy; control; occupant comfort ... See more keywords
Safe Reinforcement Learning for Grid-forming Inverter Based Frequency Regulation with Stability Guarantee
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Modern Power Systems and Clean Energy"
DOI: 10.35833/mpce.2023.000882
Abstract: —This letter investigates a safe reinforcement learning strategy for grid-forming (GFM) inverter based frequency regulation. To guarantee stability of the inverter based resource (IBR) system under the learned control policy, a model based reinforcement learning… read more here.
Keywords: grid forming; inverter; inverter based; safe reinforcement ... See more keywords