DouZero
DouZero
**DouZero** is an AI system for the card game DouDizhu that enhances traditional Monte-Carlo methods with deep neural networks, action encoding, and parallel actors. The [Q-network](https://paperswithcode.com/method/dqn) of DouZero consists of an [LSTM](https://paperswithcode.com/method/lstm) to encode historical actions and six layers of [MLP](https://paperswithcode.com/method/feedforward-network) with hidden dimension of 512. The network predicts a value for a given state-action pair based on the concatenated representation of action and state.
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
https://paperswithcode.com/paper/douzero-mastering-doudizhu-with-self-play
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning