RL Game系列论文
【摘要】 RL Game系列论文
Zero系列:
- AlphaGo: Mastering the game of Go with deep neural networks and tree search
- Mastering the game of Go without human knowledge
- AlphaZero: Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
- DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
- MuZero: Mastering Go, chess, shogi and Atari without rules
GameAI:
- Hierarchical Macro Strategy Model for MOBA Game AI — AAAI 2019. Tencent
- Hierarchical Reinforcement Learning for Multi-agent MOBA Game — IJCAI 2019 SURL Workshop. vivo
- Dota 2 with Large Scale Deep Reinforcement Learning — 2019. OpenAI
- Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings —— TNNLS 2020. Tencent
- Mastering Complex Control in MOBA Games with Deep Reinforcement Learning — AAAI 2020. Tencent
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