by PKU-Alignment · Agent Tool · ★ 98
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ProAgent: Building Proactive Cooperative Agents with Large Language Models Getting Started How to setup We highly recommend to use Linux or WSL to run instead of Windows, especially you should VPN to link OpenAI API. It is useful to setup a conda environment with Python 3.7 (python3.8 not support tf1 which is the precondition package used in the baselines): Install requirements Do it directly by , which will automatically install the conda env, and all Python dependencies in it. Another choice: Notes: Here we use . If you are only familiar with . Don't worry! The baseline models are trained with tf1, so we have to use tf1 to load the model and we ONLY use tf1 when loading the models. Install the game environment and another supporting package locally. Notes 1: Overcooked-AI is a benchmark environment for fully cooperative human-AI task performance, based on the wildly popular video game Overcooked. https://github.com/HumanCompatibleAI/overcookedai. Notes 2: package is only used for supporting method
| Stars | 98 |
| Forks | 9 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.354639567567/100 |
| Open Issues | 2 |
| Last Updated | 2025-03-04 |
| Created | 2023-08-24 |
| Platforms | node |
| Est. Tokens | ~152k |
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ProAgent is AAAI24(Oral) ProAgent: Building Proactive Cooperative Agents with Large Language Models. It is categorized as a Agent Tool with 98 GitHub stars.
ProAgent is primarily written in JavaScript. It covers topics such as cooperative, cooperative-ai, human-ai.
You can find installation instructions and usage details in the ProAgent GitHub repository at github.com/PKU-Alignment/ProAgent. The project has 98 stars and 9 forks, indicating an active community.
ProAgent is released under the MIT license, making it free to use and modify according to the license terms.
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