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https://github.com/BAAI-Agents/GPA-LM
This repo is a live list of papers on game playing and large multimodality model - "A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges".
https://github.com/BAAI-Agents/GPA-LM
List: GPA-LM
agent-framework agents ai awesome-list gameai gameplay games gcc general-computer-control generative-ai large-language-models llm multimodal planning vision-language-models vlm
Last synced: 3 months ago
JSON representation
This repo is a live list of papers on game playing and large multimodality model - "A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges".
- Host: GitHub
- URL: https://github.com/BAAI-Agents/GPA-LM
- Owner: BAAI-Agents
- Created: 2024-02-01T12:37:43.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-08-12T08:48:01.000Z (3 months ago)
- Last Synced: 2024-08-12T09:43:37.819Z (3 months ago)
- Topics: agent-framework, agents, ai, awesome-list, gameai, gameplay, games, gcc, general-computer-control, generative-ai, large-language-models, llm, multimodal, planning, vision-language-models, vlm
- Homepage:
- Size: 3.81 MB
- Stars: 67
- Watchers: 4
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - GPA-LM - This repo is a live list of papers on game playing and large multimodality model - "A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges". (Other Lists / PowerShell Lists)
README
# A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges
---
[](https://badges.pufler.dev/visits/BAAI-Agents/GPA-LM)
🏃 **Coming soon**: Add one-sentence intro to each paper.
[[Arxiv]](https://arxiv.org/abs/2403.10249) ♦ [[PDF]](https://arxiv.org/pdf/2403.10249.pdf)
## 🌟 News
✨ [2024/02/06] Creation of this repository to maintain the list of papers on LLM-based agents for game playing. More papers are coming soon!
## 2024
- [2024/03/14] Scaling Instructable Agents Across Many Simulated Worlds. [[paper](https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/sima-generalist-ai-agent-for-3d-virtual-environments/Scaling%20Instructable%20Agents%20Across%20Many%20Simulated%20Worlds.pdf)]
- [2024/03/05] Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. [[paper](https://arxiv.org/abs/2403.03186)] [[project](https://baai-agents.github.io/Cradle/)]
- [2024/02/02] PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models. [[paper](https://arxiv.org/abs/2402.01118)] [[code](https://github.com/git-disl/PokeLLMon)]
- [2024/01/19] CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents. [[Paper](https://arxiv.org/abs/2401.10568)][[Code](https://github.com/bigai-ai/civrealm)]
- [2024/01/17] Searching bug instances in gameplay video repositories. [[paper](https://ieeexplore.ieee.org/document/10402100)] [[data](https://zenodo.org/records/10211390)]
## 2023/12
- [2023/12/23] LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination. [[paper](https://arxiv.org/abs/2312.15224)] [[project](https://sites.google.com/view/overcooked-hla/)]
- [2023/12/19] Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach. [[paper](https://arxiv.org/abs/2312.11865)]
- [2023/12/14] Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft. [[paper](https://arxiv.org/pdf/2312.09238.pdf)]
- [2023/12/12] MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception. [[paper](https://arxiv.org/abs/2312.07472)] [[code](https://github.com/IranQin/MP5)]
- [2023/12/08] Apollo's Oracle: Retrieval-Augmented Reasoning in Multi-Agent Debates. [[paper](https://arxiv.org/pdf/2312.04854.pdf)] [[code](https://github.com/FutureForMe/MADRA)]
- [2023/12/08] GlitchBench: Can large multimodal models detect video game glitches? [[paper](https://arxiv.org/abs/2312.05291)] [[code](https://github.com/GlitchBench/Benchmark)]
- [2023/12/07] A Framework for Exploring Player Perceptions of LLM-Generated Dialogue in Commercial Video Games. [[paper](https://aclanthology.org/2023.findings-emnlp.151.pdf)] [[website](https://pl.aiwright.dev/)]
- [2023/12/05] Creative Agents: Empowering Agents with Imagination for Creative Tasks. [[paper](https://arxiv.org/pdf/2312.02519.pdf)] [[code](https://github.com/PKU-RL/Creative-Agents)]
- [2023/12/04] Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games. [[paper](https://arxiv.org/pdf/2312.02312.pdf)]
- [2023/12/02] Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation. [[paper](https://arxiv.org/pdf/2401.00006.pdf)]
- [2023/12/01] Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games. [[paper](https://arxiv.org/pdf/2312.00746.pdf)]
## 2023/11
- [2023/11/20] DesignGPT: Multi-Agent Collaboration in Design. [[paper](https://arxiv.org/pdf/2311.11591.pdf)]
- [2023/11/14] MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. [[paper](https://arxiv.org/abs/2311.08562)] [[code](https://github.com/cathyxl/MAgIC)]
- [2023/11/10] Jarvis-1: Open-World Multi-Task Agents with Memory-Augmented Multimodal Language Models. [[paper](https://arxiv.org/abs/2311.05997)] [[code](https://github.com/CraftJarvis/JARVIS-1)]
## 2023/10
- [2023/10/29] Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game. [[paper](https://arxiv.org/abs/2310.18940)]
- [2023/10/23] LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. [[paper](https://arxiv.org/abs/2310.14985)]
- [2023/10/20] Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds. [[paper](https://arxiv.org/pdf/2310.13255.pdf)] [[code](https://github.com/BAAI-Agents/Steve-Eye)]
- [2023/10/16] Character-LLM: A Trainable Agent for Role-Playing. [[paper](https://arxiv.org/pdf/2310.10158.pdf)] [[code](https://github.com/choosewhatulike/trainable-agents)]
- [2023/10/13] LLaMA Rider: Spurring Large Language Models to Explore the Open World. [[paper](https://arxiv.org/abs/2310.08922)]
- [2023/10/12] GameGPT: Multi-agent Collaborative Framework for Game Development. [[paper](https://arxiv.org/abs/2310.08067)]
- [2023/10/12] Groot: Learning to Follow Instructions by Watching Gameplay Videos. [[paper](https://arxiv.org/abs/2310.08235)] [[code](https://craftjarvis-groot.github.io/)]
- [2023/10/12] Octopus: Embodied Vision-Language Programmer from Environmental Feedback. [[paper](https://arxiv.org/abs/2310.08588)] [[code](https://github.com/dongyh20/Octopus)]
- [2023/10/10] Metaagents: Simulating Interactions of Human Behaviors for LLM-Based Task-Oriented Coordination via Collaborative Generative Agents. [[paper](https://arxiv.org/abs/2310.06500)]
- [2023/10/09] Humanoid Agents: Platform for Simulating Human-like Generative Agents. [[paper](https://arxiv.org/abs/2310.05418)] [[code](https://github.com/HumanoidAgents/HumanoidAgents)]
- [2023/10/08] AvalonBench: Evaluating LLMs Playing the Game of Avalon. [[paper](https://arxiv.org/pdf/2310.05036.pdf)] [[code](https://github.com/jonathanmli/Avalon-LLM)]
- [2023/10/03] Evaluating Multi-Agent Coordination Abilities in Large Language Models [[paper](https://arxiv.org/pdf/2310.02071.pdf)] [[code](https://github.com/pkunlp-icler/PCA-EVAL)]
- [2023/10/03] Lyfe Agents: Generative agents for low-cost real-time social interactions. [[paper](https://arxiv.org/pdf/2310.02172.pdf)]
- [2023/10/03] Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond. [[paper](https://arxiv.org/pdf/2310.02071.pdf)] [[code](https://github.com/pkunlp-icler/PCA-EVAL)]
- [2023/10/02] SmartPlay: A Benchmark for LLMs as Intelligent Agents. [[paper](https://arxiv.org/abs/2310.01557)] [[code](https://github.com/LLMsmartplay/SmartPlay)]
- [2023/10/02] Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation. [[paper](https://arxiv.org/pdf/2310.01320.pdf)]
- [2023/10/01] RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. [[paper](https://arxiv.org/abs/2310.00746)] [[code](https://github.com/InteractiveNLP-Team/RoleLLM-public)]
## 2023/09
- [2023/09/29] Motif: Intrinsic Motivation from Artificial Intelligence Feedback. [[paper](https://arxiv.org/abs/2310.00166)] [[code](https://github.com/facebookresearch/motif)]
- [2023/09/29] LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games. [[paper](https://arxiv.org/abs/2309.17234)] [[code](https://github.com/S-Abdelnabi/LLM-Deliberation)]
- [2023/09/29] Suspision-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4. [[paper](https://arxiv.org/pdf/2309.17277.pdf)] [[code](https://github.com/CR-Gjx/Suspicion-Agent)]
- [2023/09/29] Autoagents: A Framework for Automatic Agent Generation. [[paper](https://arxiv.org/pdf/2309.17288.pdf)] [[code](https://github.com/Link-AGI/AutoAgents)]
- [2023/09/21] True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning. [[paper](https://arxiv.org/pdf/2401.14151.pdf)] [[code](https://github.com/WeihaoTan/TWOSOME)]
- [2023/09/18] MindAgent: Emergent Gaming Interaction. [[paper](https://arxiv.org/abs/2309.09971)] [[code](https://github.com/mindagent/mindagent)]
- [2023/09/14] Agents: An Open-source Framework for Autonomous Language Agents. [[paper](https://arxiv.org/pdf/2309.07870.pdf)] [[code](https://github.com/aiwaves-cn/agents)]
- [2023/09/09] Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf. [[paper](https://browse.arxiv.org/pdf/2309.04658.pdf)]
## 2023/08
- [2023/08/23] Are ChatGPT and GPT-4 Good Poker Players?--A Pre-Flop Analysis. [[paper](https://arxiv.org/pdf/2308.12466.pdf)]
- [2023/08/22] Proagent: Constructing Proactive Cooperative AI Using Large Language Models. [[paper](https://arxiv.org/abs/2308.11339)] [[code](https://github.com/PKU-Alignment/ProAgent)]
- [2023/08/21] Agentverse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents. [[paper](https://arxiv.org/abs/2308.10848)] [[code](https://github.com/OpenBMB/AgentVerse)]
- [2023/08/16] Autogen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. [[paper](https://arxiv.org/pdf/2308.08155.pdf)]
- [2023/08/15] CALYPSO: LLMs as Dungeon Master's Assistants. [[paper](https://arxiv.org/pdf/2308.07540.pdf)]
- [2023/08/01] MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework. [[paper](https://arxiv.org/abs/2308.00352)] [[code](https://github.com/geekan/MetaGPT)]
## 2023/07
- [2023/07/24] Tachikuma: Understanding Complex Interactions with Multi-Character and Novel Objects by large Language Models. [[paper](https://arxiv.org/pdf/2307.12573.pdf)]
- [2023/07/21] Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors. [[paper](https://arxiv.org/abs/2307.11922)] [[project](https://kolbytn.github.io/blinder/)]
- [2023/07/12] Sayplan: Grounding Large Language models using 3D Scene Graphs for Scalable Task Planning. [[paper](https://arxiv.org/abs/2307.06135)]
- [2023/07/05] Building Cooperative Embodied Agents Modularly with Large Language Models. [[paper](https://arxiv.org/pdf/2307.02485.pdf)] [[code](https://github.com/UMass-Foundation-Model/Co-LLM-Agents/)]
- [2023/07/04] TaPA: Embodied Task Planning with Large Language Models. [[paper](https://arxiv.org/pdf/2307.01848.pdf)] [[code](https://github.com/Gary3410/TaPA)]
## 2023/06
- [2023/06/20] SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling. [[paper](https://arxiv.org/abs/2306.11886)] [[code](https://github.com/clvrai/sprint)]
- [2023/06/01] STEVE-1: A Generative Model for Text-to-Behavior in Minecraft. [[paper](https://arxiv.org/pdf/2306.00937.pdf)] [[code](https://github.com/Shalev-Lifshitz/STEVE-1)]
## 2023/05
- [May-23] COTTAGE: Coherent Text Adventure Games Generation. [[paper](https://www.cis.upenn.edu/~ccb/publications/masters-theses/River-Yijiang-Dong-masters-thesis-2023.pdf)] [[code](https://colab.research.google.com/drive/1Gnn6sR9oHwCHenkf3JF4ZhiiDFK7_SM0#scrollTo=OrNCXsMO9Gwh)]
- [2023/05/30] AlphaBlock: Embodied Finetuning for Vision-Language Reasoning in Robot Manipulation. [[paper](https://arxiv.org/pdf/2305.18898.pdf)]
- [2023/05/26] Playing repeated games with Large Language Models. [[paper](https://arxiv.org/abs/2305.16867)]
- [2023/05/25] Voyager: An Open-Ended Embodied Agent with Large Language Models. [[paper](https://arxiv.org/pdf/2305.16291.pdf)] [[code](https://github.com/MineDojo/Voyager)]
- [2023/05/25] Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory. [[paper](https://arxiv.org/pdf/2305.17144.pdf)] [[code](https://github.com/OpenGVLab/GITM)]
- [2023/05/24] SPRING: Studying Papers and Reasoning to Play Games. [[paper](https://arxiv.org/abs/2305.15486)] [[code](https://github.com/Holmeswww/SPRING)]
- [2023/05/23] Improving Factuality and Reasoning in Language Models through Multiagent Debate. [[paper](https://arxiv.org/abs/2305.14325)] [[code](https://github.com/composable-models/llm_multiagent_debate)]
- [2023/05/17] Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback. [[paper](https://arxiv.org/abs/2305.10142)] [[code](https://github.com/FranxYao/GPT-Bargaining)]
- [2023/05/09] Tidybot: Personalized Robot Assistance with Large Language Models. [[paper](https://arxiv.org/pdf/2305.05658.pdf)] [[code](https://github.com/jimmyyhwu/tidybot)]
- [2023/05/01] ArK: Augmented Reality with Knowledge Interactive Emergent Ability. [[paper](https://arxiv.org/pdf/2305.00970.pdf)]
## 2023/04
- [2023/04/07] Generative Agents: Interactive Simulacra of Human Behavior. [[paper](https://arxiv.org/pdf/2304.03442.pdf)] [[code](https://github.com/joonspk-research/generative_agents)]
- [2023/04/06] Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions. [[paper](https://arxiv.org/pdf/2304.02868.pdf)] [[code](https://github.com/hongyuanmei/chatgpt-play-zork/tree/main)]
- [Apr-23] Personalized Quest and Dialogue Generation in Role-Playing Games: A Knowledge Graph- and Language Model-based Approach. [[paper](https://dl.acm.org/doi/10.1145/3544548.3581441)] [[code](https://github.com/DRAGNLabs/DRAGN-Town-Quests)]
## 2023/03
- [2023/03/31] CAMEL: Communicative Agents for ''Mind'' Exploration of Large Language Model Society. [[paper](https://arxiv.org/pdf/2303.17760.pdf)] [[code](https://github.com/camel-ai/camel)]
- [2023/03/29] Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks. [[paper](https://arxiv.org/abs/2303.16563)] [[code](https://github.com/PKU-RL/Plan4MC)]
- [2023/03/06] PaLM-E: An Embodied Multimodal Language Model. [[paper](https://arxiv.org/abs/2303.03378)]
## 2023/02
- [2023/02/12] MarioGPT: Open-Ended Text2Level Generation through Large Language Models. [[paper](https://arxiv.org/abs/2302.05981)] [[code](https://github.com/shyamsn97/mario-gpt)]
- [2023/02/03] Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents. [[paper](https://arxiv.org/pdf/2302.01560.pdf)] [[code](https://github.com/CraftJarvis/MC-Planner)]
## 2023/01
- [2023/01/28] Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling. [[paper](https://arxiv.org/abs/2301.12050)]
- [2023/01/21] Open-World Multi-Task Control through Goal-Aware Representation Learning and Adaptive Horizon Prediction. [[paper](https://arxiv.org/abs/2301.10034)] [[code](https://github.com/CraftJarvis/MC-Controller)]
## 2022
- [2022/11/21] Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models. [[paper](https://arxiv.org/abs/2211.11736)]
- [2022/10/05] Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectors. [[paper](https://arxiv.org/abs/2210.02506)] [[code](https://asgaardlab.github.io/LLMxBugs/)]
- [2022/08/08] Social Simulacra: Creating Populated Prototypes for Social Computing Systems. [[paper](https://arxiv.org/abs/2208.04024)]
- [2022/07/12] Inner Monologue: Embodied Reasoning through Planning with Language Models. [[paper](https://arxiv.org/abs/2207.05608)]
- [2022/06/23] Video pretraining (VPT): Learning to Act by Watching Unlabeled Online Videos. [[paper](https://arxiv.org/pdf/2206.11795.pdf)]
- [2022/06/07] Minedojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge. [[paper](https://arxiv.org/abs/2206.08853)] [[code](https://github.com/MineDojo/MineDojo)]
## Citation
If you find this repository useful, please cite our paper:
```
@misc{xu2024survey,
title={A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges},
author={Xinrun Xu, Yuxin Wang, Chaoyi Xu, Ziluo Ding, Jiechuan Jiang, Zhiming Ding, Börje F. Karlsson},
year={2024},
eprint={2403.10249},
archivePrefix={arXiv},
primaryClass={cs.AI}
}
```
## Contact
- Börje F. Karlsson [@tellarin](https://github.com/tellarin): [email protected]
- Xinrun Xu [@XinrunXu](https://github.com/XinrunXu): [email protected]