no code implementations • 27 Apr 2023 • Maniraman Periyasamy, Marc Hölle, Marco Wiedmann, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
Deep reinforcement learning (DRL) often requires a large number of data and environment interactions, making the training process time-consuming.
no code implementations • 27 Apr 2023 • Marco Wiedmann, Marc Hölle, Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
We introduce a novel approach that uses the approximated gradient from SPSA in combination with state-of-the-art gradient-based classical optimizers.