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+# Road Map
+Here we provide a high-level road map for the project. We will update this road map as we make progress.
+If you are interested in contributing to the project, please check the [CONTRIBUTING.md](CONTRIBUTING.md) for more details.
+
+## Road Map for Environment Infrastructure
+
+- [x] Explore VMWare, and whether it can be connected and control through mouse package
+- [x] Explore Windows and MacOS, whether it can be installed
+  - MacOS is closed source and cannot be legally installed
+  - Windows is available legally and can be installed
+- [x] Build gym-like python interface for controlling the VM
+- [x] Recording of actions (mouse movement, click, keyboard) for humans to annotate, and we can replay it and compress it
+- [x] Build a simple task, e.g. open a browser, open a website, click on a button, and close the browser
+- [x] Set up a pipeline and build agents implementation (zero-shot) for the task
+- [x] Start to design on which tasks inside the DesktopENv to focus on, start to wrap up the environment to be public
+- [x] Start to annotate the examples for ~~training~~ and testing
+- [x] Error handling during file passing and file opening, etc.
+- [x] Add accessibility tree from the OS into the observation space
+- [x] Add pre-process and post-process action support for benchmarking setup and evaluation
+- [x] Experiment logging and visualization system
+- [x] Add more tasks, maybe scale to 300 for v1.0.0, and create a dynamic leaderboard
+- [x] Multiprocess support, this can enable the reinforcement learning to be more efficient
+- [ ] Support running on platform that have nested virtualization, e.g. Google Cloud, AWS, etc. 
+
+
+## Road Map of Annotation Tool
+- [ ] Improve the annotation tool base on DuckTrack, make it more robust which align on accessibility tree
+- [ ] Annotate the steps of doing the task
+- [ ] Crawl all resources we explored from the internet, and make it easy to access
+- [ ] Set up ways for community to contribute new examples