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cs.LG2023
Constrained Proximal Policy Optimization
Chengbin Xuan, Feng Zhang, Faliang Yin +1
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…
cs.LG2023
Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction
Jingxin Li, Toktam Mahmoodi, Hak-Keung Lam
Although federated learning has achieved many breakthroughs recently, the heterogeneous nature of the learning environment greatly limits its performance and hinders its real-world…