Web: http://arxiv.org/abs/2209.10055

Sept. 22, 2022, 1:11 a.m. | Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng

cs.LG updates on arXiv.org arxiv.org

Despite the emerging progress of integrating evolutionary computation into
reinforcement learning, the absence of a high-performance platform endowing
composability and massive parallelism causes non-trivial difficulties for
research and applications related to asynchronous commercial games. Here we
introduce Lamarckian - an open-source platform featuring support for
evolutionary reinforcement learning scalable to distributed computing
resources. To improve the training speed and data efficiency, Lamarckian adopts
optimized communication methods and an asynchronous evolutionary reinforcement
learning workflow. To meet the demand for an asynchronous …

arxiv asynchronous games platform reinforcement reinforcement learning

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