Archives for Train RL Using Stable BaseLines
Various Benchmarks have played an important role in various domains of machine learning such as MNIST (LeCun et al., 1998), Caltech101 (Fei-Fei et al., 2006), CIFAR (Krizhevsky & Hinton, 2009), ImageNet (Deng et al., 2009). However, there is a lack of standardized testbed for Reinforcement Learning algorithms. Various benchmarks released by OpenAI such as Procgen,…
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Reinforcement learning is continuously being made easy by OpenAI. On their, mission to develop and promote friendly AI that helps humanity, OpenAI released Stable-Baselines. It was created by Robotics Lab U2IS (INRIA Flowers Team) at ENSTA Paris with a goal to provide Scikit Learn like coding structure to give a unified style to program the…
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