LAUSR

Multi-objective safe reinforcement learning: the relationship between multi-objective reinforcement learning and safe reinforcement learning

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0 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

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0 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

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1 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

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1 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 Exploration in Wireless Security: A Safe Reinforcement Learning Algorithm With Hierarchical Structure

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1 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