Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation[2021] E. Parisotto and R. Salakhutdinov[PDF] Deep Transformer Q-Networks for Partially Observable Reinforcement ...
Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.