Fetching the paper…

Reading the bibliography…

2023

GameGPT: Multi-agent Collaborative Framework for Game Development

Chen, Dake, Zhang, Haoyang, Wang, Hanbin et al.

Original
PDF
Post on X

Understand

The large language model (LLM) based agents have demonstrated their capacity to automate and expedite software development processes.

In this paper, we focus on game development and propose a multi-agent collaborative framework, dubbed GameGPT, to automate game development.
While many studies have pinpointed hallucination as a primary roadblock for deploying LLMs in production, we identify another concern: redundancy.
Our framework presents a series of methods to mitigate both concerns.

GameGPT: Multi-agent Collaborative Framework for Game Development · Around

Built on

J. Laird and M. VanLent, “Human-Level AI’s Killer Application: Interactive Computer Games,”
2001
Earlier work this paper cites.
D. Perez-Liebana, S. Samothrakis, J. Togelius, T. Schaul, and S. Lucas, “General Video Game Ai: Competition, Challenges And Opportunities,” in
2016
Earlier work this paper cites.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention Is All You Need,”
2017
Earlier work this paper cites.
A. Radford, K. Narasimhan, T. Salimans, I. Sutskever
2018
Earlier work this paper cites.
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “Bert: Pre-Training Of Deep Bidirectional Transformers For Language Understanding,”
Original
2018
Earlier work this paper cites.
C. Berner, G. Brockman, B. Chan, V. Cheung, P. Dębiak, C. Dennison, D. Farhi, Q. Fischer, S. Hashme, C. Hesse
Original
2019
Earlier work this paper cites.
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, I. Sutskever
2019
Earlier work this paper cites.
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell
2020
Earlier work this paper cites.

Similar

D. Hendrycks, C. Burns, S. Basart, A. Zou, M. Mazeika, D. Song, and J. Steinhardt, “Measuring Massive Multitask Language Understanding,”
Original
2020
Cited alongside, same era.
J. H. Kim and R. Wu, “Leveraging machine learning for game development,” 2021. [Online]. Available:
2021
Cited alongside, same era.
H. W. Chung, L. Hou, S. Longpre, B. Zoph, Y. Tay, W. Fedus, E. Li, X. Wang, M. Dehghani, S. Brahma
Original
2022
Cited alongside, same era.
Y. Wang, Y. Kordi, S. Mishra, A. Liu, N. A. Smith, D. Khashabi, and H. Hajishirzi, “Self-Instruct: Aligning Language Model With Self Generated Instructions,”
Original
2022
Cited alongside, same era.
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray
2022

Then

C. Xu, Q. Sun, K. Zheng, X. Geng, P. Zhao, J. Feng, C. Tao, and D. Jiang, “Wizardlm: Empowering Large Language Models To Follow Complex Instructions,”
Original
2023
Closest in time.
H. Yang, S. Yue, and Y. He, “Auto-GPT For Online Decision Making: Benchmarks And Additional Opinions,”
Original
2023
Closest in time.
Y. Shen, K. Song, X. Tan, D. Li, W. Lu, and Y. Zhuang, “Hugginggpt: Solving Ai Tasks With Chatgpt And Its Friends In Huggingface,”
Original
2023
Closest in time.
C. Qian, X. Cong, C. Yang, W. Chen, Y. Su, J. Xu, Z. Liu, and M. Sun, “Communicative Agents For Software Development,”
Original
2023
Closest in time.
S. Hong, X. Zheng, J. Chen, Y. Cheng, C. Zhang, Z. Wang, S. K. S. Yau, Z. Lin, L. Zhou, C. Ran

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

Cited alongside, same era.

S. Sudhakaran, M. González-Duque, C. Glanois, M. Freiberger, E. Najarro, and S. Risi, “MarioGPT: Open-Ended Text2Level Generation Through Large Language Models,” 2023

2023

Cited alongside, same era.

H. Touvron, T. Lavril, G. Izacard, X. Martinet, M.-A. Lachaux, T. Lacroix, B. Rozière, N. Goyal, E. Hambro, F. Azhar

2023

Cited alongside, same era.

W.-L. Chiang, Z. Li, Z. Lin, Y. Sheng, Z. Wu, H. Zhang, L. Zheng, S. Zhuang, Y. Zhuang, J. E. Gonzalez

2023

Cited alongside, same era.

2023

Closest in time.

J. S. Park, J. C. O’Brien, C. J. Cai, M. R. Morris, P. Liang, and M. S. Bernstein, “Generative Agents: Interactive Simulacra Of Human Behavior,”

2023

Closest in time.

G. Li, H. A. A. K. Hammoud, H. Itani, D. Khizbullin, and B. Ghanem, “CAMEL: Communicative Agents For "Mind" Exploration Of Large Scale Language Model Society,” 2023

2023

Closest in time.

R. Gong, Q. Huang, X. Ma, H. Vo, Z. Durante, Y. Noda, Z. Zheng, S.-C. Zhu, D. Terzopoulos, L. Fei-Fei

2023

Closest in time.