General Value Function Networks

作者： Adam White , Martha White , Matthew Schlegel , Andrew Patterson , Andrew Jacobsen

关键词: Recurrent neural network 、 Artificial intelligence 、 State (functional analysis) 、 General purpose 、 Observable 、 Bellman equation 、 Computer science

摘要: State construction is important for learning in partially observable environments. A general purpose strategy state to learn the update using a Recurrent Neural Network (R...