Web: http://arxiv.org/abs/2110.05128

May 12, 2022, 1:11 a.m. | Aristotelis Lazaridis, Ioannis Vlahavas

cs.LG updates on arXiv.org arxiv.org

Deep Reinforcement Learning (Deep RL) has been in the spotlight for the past
few years, due to its remarkable abilities to solve problems which were
considered to be practically unsolvable using traditional Machine Learning
methods. However, even state-of-the-art Deep RL algorithms have various
weaknesses that prevent them from being used extensively within industry
applications, with one such major weakness being their sample-inefficiency. In
an effort to patch these issues, we integrated a meta-learning technique in
order to shift the objective …

agents arxiv giving learning reinforcement reinforcement learning

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