4 citations · 6 across the 9 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024
Long-term Safe Reinforcement Learning with Binary Feedback
Akifumi Wachi, Wataru Hashimoto, Kazumune Hashimoto
Safety is an indispensable requirement for applying reinforcement learning (RL) to real problems. Although there has been a surge of safe RL algorithms proposed in recent years, mo…
cs.LG2023★ 4 cited
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms
Akifumi Wachi, Wataru Hashimoto, Xun Shen +1
Safe exploration is essential for the practical use of reinforcement learning (RL) in many real-world scenarios. In this paper, we present a generalized safe exploration (GSE) prob…