Safe Reinforcement Learning Using Advantage-Based Intervention
Nolan Wagener 1 Byron Boots 2 Ching-An Cheng 3
Abstract
Many sequential decision problems involve
finding a policy that maximizes total reward
while obeying safety constraints. Although much
recent research has focused on the development
of safe reinforcement learning (RL) algorithms
that produce a safe policy after training, ensuring
safety during training as well remains ...


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