28 citations · 28 across the 1 of their papers we have counts for
2 papers
econ.GN2022★ 28 cited
(Machine) Learning from the COVID-19 Lockdown about Electricity Market Performance with a Large Share of Renewables
Christoph Graf, Federico Quaglia, Frank A. Wolak
The negative demand shock due to the COVID-19 lockdown has reduced net demand for electricity -- system demand less amount of energy produced by intermittent renewables, hydroelect…
cs.GT2021
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…