36 lines
1.9 KiB
Markdown
36 lines
1.9 KiB
Markdown
# DesktopEnv: An Environment towards Human-like Computer Task Mastery
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## Setup guide
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### x86_64
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todo
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### Apple Silicon
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Please refer to https://docs.google.com/document/d/1KBdeZwmZs2Vi_Wsnngb3Wf1-RiwMMpXTftwMqP2Ztak/edit#heading=h.uh0x0tkl7fuw
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## Road map of infra (Proposed)
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- [x] Explore VMWare, and whether it can be connected and control through mouse package
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- [x] Explore Windows and MacOS, whether it can be installed
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- MacOS is closed source and cannot be legally installed
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- Windows is available legally and can be installed
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- [x] Build gym-like python interface for controlling the VM
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- [x] Recording of actions (mouse movement, click, keyboard) for humans to annotate, and we can replay it and compress it
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- [x] Build a simple task, e.g. open a browser, open a website, click on a button, and close the browser
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- [x] Set up a pipeline and build agents implementation (zero-shot) for the task
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- [x] Start to design on which tasks inside the DesktopENv to focus on, start to wrap up the environment to be public
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- [x] Start to annotate the examples for ~~training~~ and testing
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- [x] Error handling during file passing and file opening, etc.
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- [x] Add accessibility tree from the OS into the observation space
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- [x] Add pre-process and post-process action support for benchmarking setup and evaluation
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- [ ] Multiprocess support, this can enable the reinforcement learning to be more efficient
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- [ ] Experiment logging and visualization system
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- [ ] Add more tasks, maybe scale to 300 for v1.0.0, and create a dynamic leaderboard
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## Road map of benchmark, tools and resources (Proposed)
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- [ ] Improve the annotation tool base on DuckTrack, make it more robust which align on accessibility tree
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- [ ] Annotate the steps of doing the task
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- [ ] Build a website for the project
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- [ ] Crawl all resources we explored from the internet, and make it easy to access
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- [ ] Set up ways for community to contribute new examples
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