We study the volatility functional inference by Fourier transforms. This...
This paper presents the nonparametric inference for nonlinear volatility...
We propose a meta-learning approach for learning gradient-based reinforc...
Deep learning algorithms offer a powerful means to automatically analyze...
Multi-agent settings are quickly gathering importance in machine learnin...
Deep reinforcement learning (RL) methods generally engage in exploratory...
We show how an ensemble of Q^*-functions can be leveraged for more
effec...