25 citations · 48 across the 11 of their papers we have counts for
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cs.RO2023★ 25 cited
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning
Dohyeong Kim, Songhwai Oh
As safety is of paramount importance in robotics, reinforcement learning that reflects safety, called safe RL, has been studied extensively. In safe RL, we aim to find a policy whi…
cs.LG2023★ 17 cited
Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk
Dohyeong Kim, Songhwai Oh
This paper 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 ta…
cs.LG2023★ 2 cited
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints
Dohyeong Kim, Kyungjae Lee, Songhwai Oh
In safety-critical robotic tasks, potential failures must be reduced, and multiple constraints must be met, such as avoiding collisions, limiting energy consumption, and maintainin…