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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A Survey on Large Language Model-Based Game Agents (ACM CSUR)
| Date | Stars |
|---|---|
| 2026-07-31 | 941 |
| 2026-08-03 | 943 |
| 2026-08-06 | 943 |
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growth rate 0.00%/day
# A Survey on Large Language Model-Based Game Agents (ACM CSUR) <div align="center">  [](https://hits.sh/github.com/git-disl/awesome-LLM-game-agent-papers/)   <a href='https://arxiv.org/pdf/2404.02039'><img src='https://img.shields.io/badge/arXiv-2404.02039-b31b1b.svg'></a> </div> 🔥 **Must-read papers for LLM-based Game agents.** 📘 **Our survey has been accepted by ACM Computing Surveys (CSUR). We are preparing the camera ready. Feel free to reach out if you find missing reference.** 💫 **We continuously update the GitHub list on a weekly basis.** 📝 **If you discover any papers that are suitable but not yet included, please open an issue or submit a pull request.** ## Browse by Genre - [`#minecraft` (60)](#minecraft) - [`#text-adventure` (135)](#text-adventure) - [`#communication` (47)](#communication) - [`#competition` (51)](#competition) - [`#cooperation` (15)](#cooperation) - [`#sim-social` (56)](#sim-social) - [`#sim-embodied` (17)](#sim-embodied) - [`#sim-other` (1)](#sim-other) - [`#crafter` (14)](#crafter) - [`#action` (29)](#action) - [`#video-adventure` (3)](#video-adventure) - [`#benchmark` (6)](#benchmark) - [`#other` (20)](#other) ## Browse by Mechanism - [`#planning` (145)](#planning) - [`#memory` (44)](#memory) - [`#multi-agent` (78)](#multi-agent) - [`#world-model` (18)](#world-model) - [`#tool-use` (20)](#tool-use) - [`#training` (160)](#training) - [`#self-improvement` (34)](#self-improvement) - [`#prompting` (28)](#prompting) - [`#role-play` (9)](#role-play) - [`#vlm` (37)](#vlm) - [`#generation` (11)](#generation) --- # By Genre ## minecraft - [2026/05] **GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents** *arXiv* [[paper](https://arxiv.org/abs/2605.20246)] `#minecraft` `#training` `#vlm` - [2026/05] **Ratchet: A Minimal Hygiene Recipe for Self-Evolving LLM Agents** *arXiv* [[paper](https://arxiv.org/abs/2605.22148)] `#minecraft` `#self-improvement` - [2026/04] **Experience Transfer for Multimodal LLM Agents in Minecraft Game** *arXiv* [[paper](https://arxiv.org/abs/2604.05533)] `#minecraft` - [2026/04] **Gated Coordination for Efficient Multi-Agent Collaboration in Minecraft Game** *arXiv* [[paper](https://arxiv.org/abs/2604.18975)] `#minecraft` `#memory` `#multi-agent` `#vlm` - [2026/03] **BLOCK: An Open-Source Bi-Stage MLLM Character-to-Skin Pipeline for Minecraft** *arXiv* [[paper](https://arxiv.org/abs/2603.03964)] `#minecraft` `#vlm` - [2026/02] **Requesting Expert Reasoning: Augmenting LLM Agents with Learned Collaborative Intervention** *arXiv* [[paper](https://arxiv.org/abs/2602.22546)] `#minecraft` - [2026/01] **MineNPC-Task: Task Suite for Memory-Aware Minecraft Agents** *arXiv* [[paper](https://arxiv.org/abs/2601.05215)] `#minecraft` - [2025/12] **Synergizing Code Coverage and Gameplay Intent: Coverage-Aware Game Playtesting with LLM-Guided Reinforcement Learning** *arXiv* [[paper](https://arxiv.org/abs/2512.12706)] `#minecraft` `#training` - [2025/11] **Knowledge Graph-enhanced Large Language Model for Incremental Game PlayTesting** *IEICE Transactions on Information and Systems 2025* [[paper](https://arxiv.org/abs/2511.02534)] `#minecraft` `#memory` - [2025/09] **PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments** *2025 IEEE Conference on Games (CoG) 2025* [[paper](https://arxiv.org/abs/2509.06235)] `#minecraft` `#multi-agent` `#self-improvement` - [2025/09] **Experience-based Knowledge Correction for Robust Planning in Minecraft** *ICLR 2026 Poster* [[paper](https://openreview.net/forum?id=N22lDHYrXe)] `#minecraft` `#planning` - [2025/08] **Causa
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Fangwei Zhong · Beijing Normal University · China
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Wang Siyuan · Shanghai Jiao Tong University · China
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b01a05044956e147, topic:large-language-models