58 citations · 66 across the 3 of their papers we have counts for
3 papers
Computational Performance of Deep Reinforcement Learning to find Nash Equilibria
Christoph Graf, Viktor Zobernig, Johannes Schmidt +1
We test the performance of deep deterministic policy gradient (DDPG), a deep reinforcement learning algorithm, able to handle continuous state and action spaces, to learn Nash equi…
The perils of automated fitting of datasets: the case of a wind turbine cost model
Claude Klöckl, Katharina Gruber, Peter Regner +2
Rinne et al. conduct an interesting analysis of the impact of wind turbine technology and land-use on wind power potentials, which allows profound insights into each factors contri…
Heisenberg-Weyl Observables: Bloch vectors in phase space
Ali Asadian, Paul Erker, Marcus Huber +1
We introduce a Hermitian generalization of Pauli matrices to higher dimensions which is based on Heisenberg-Weyl operators. The complete set of Heisenberg-Weyl observables allows u…