A Paper in Thousand Words: Dueling Network Architectures for Deep Reinforcement Learning

Paper is found here Introduction and the Contribution This paper’s main contribution is that instead of using standard neural network architectures such as Convolution Neural Networks (CNNs) and Long-Short Term Memory Netowrks (LSTMs). For example, Deep Q-Networks uses a standard CNN. The authors of this paper introduce an alterations to...