RL Game系列论文

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困困和囧囧 发表于 2021/11/10 11:02:37 2021/11/10
【摘要】 RL Game系列论文

Zero系列:

  1.  AlphaGo: Mastering the game of Go with deep neural networks and tree search
  2. Mastering the game of Go without human knowledge
  3. AlphaZero: Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
  4. DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
  5. MuZero: Mastering Go, chess, shogi and Atari without rules

GameAI:

  1. Hierarchical Macro Strategy Model for MOBA Game AI — AAAI 2019. Tencent
  2. Hierarchical Reinforcement Learning for Multi-agent MOBA Game — IJCAI 2019 SURL Workshop. vivo
  3. Dota 2 with Large Scale Deep Reinforcement Learning — 2019. OpenAI
  4. Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings —— TNNLS 2020. Tencent
  5. Mastering Complex Control in MOBA Games with Deep Reinforcement Learning — AAAI 2020. Tencent

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