2 citations · 4 across the 3 of their papers we have counts for
3 papers
Domain-adapted Learning and Imitation: DRL for Power Arbitrage
Yuanrong Wang, Vignesh Raja Swaminathan, Nikita P. Granger +2
In this paper, we discuss the Dutch power market, which is comprised of a day-ahead market and an intraday balancing market that operates like an auction. Due to fluctuations in po…
Domain-adapted Learning and Interpretability: DRL for Gas Trading
Yuanrong Wang, Yinsen Miao, Alexander CY Wong +2
Deep Reinforcement Learning (Deep RL) has been explored for a number of applications in finance and stock trading. In this paper, we present a practical implementation of Deep RL f…
A discontinuous Galerkin method for the Vlasov-Poisson system
R. E. Heath, I. M. Gamba, P. J. Morrison +1
A discontinuous Galerkin method for approximating the Vlasov-Poisson system of equations describing the time evolution of a collisionless plasma is proposed. The method is mass con…