Search results
Welcome to the Yu-Gi-Oh! dueling network. Enter your username and password to log in.
Dueling Network. 40,855 likes · 1 talking about this. Official facebook of the Dueling Network, the online Yu-Gi-Oh! Trading Card Game Simulator. Duel your friends online for free!
Nov 20, 2015 · In this paper, we present a new neural network architecture for model-free reinforcement learning. Our dueling network represents two separate estimators: one for the state value function and one for the state-dependent action advantage function.
We would like to show you a description here but the site won’t allow us.
Official YouTube of the Dueling Network, the online Yu-Gi-Oh! Trading Card Game Simulator. Duel your friends online for free!
Dueling Networkは、DQN, DDQNなどのModel-freeなアルゴリズムと組み合わせて利用することができる。 状態価値関数V(s)が行動aに寄らずに学習できることが主な利点となっている。
We would like to show you a description here but the site won’t allow us.
A Dueling Network is a type of Q-Network that has two streams to separately estimate (scalar) state-value and the advantages for each action. Both streams share a common convolutional feature learning module.
Dec 30, 2011 · Dueling Network (commonly abbreviated DN) was an online, unofficial Adobe Flash–based simulation of the Yu-Gi-Oh! Trading Card Game (TCG). It was created by Christopher Salvarani on...
The dueling network automatically produces separate estimates of the state value function and advantage function, without any extra supervision. Intuitively, the dueling architecture can learn which states are (or are not) valuable, without having to learn the effect of each action for each state.
