Constrained Proximal Policy Optimization

no code implementations • 23 May 2023 • Chengbin Xuan, Feng Zhang, Faliang Yin, Hak-Keung Lam

The problem of constrained reinforcement learning (CRL) holds significant importance as it provides a framework for addressing critical safety satisfaction concerns in the field of reinforcement learning (RL).

reinforcement-learning Reinforcement Learning (RL)