Safe Exploration of State and Action Spaces in Reinforcement Learning

Preprint English OPEN
Garcia, Javier; Fernandez, Fernando;
  • Related identifiers: doi: 10.1613/jair.3761
  • Subject: Computer Science - Learning | Computer Science - Artificial Intelligence

In this paper, we consider the important problem of safe exploration in reinforcement learning. While reinforcement learning is well-suited to domains with complex transition dynamics and high-dimensional state-action spaces, an additional challenge is posed by the need... View more
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