no code implementations • 26 Oct 2021 • Valentin Charvet, Bjørn Sand Jensen, Roderick Murray-Smith
Model-based Reinforcement Learning estimates the true environment through a world model in order to approximate the optimal policy.
Model-based Reinforcement Learning reinforcement-learning +1
1 code implementation • 19 Oct 2020 • Anders Kirk Uhrenholt, Valentin Charvet, Bjørn Sand Jensen
Sparse Gaussian processes and various extensions thereof are enabled through inducing points, that simultaneously bottleneck the predictive capacity and act as the main contributor towards model complexity.