AI bot that learns to play the offline dinosaur game in Chrome.
pip install -r requirements.txt
On windows you can optionally install win32gui
which will automatically focus the chrome window. Download the .whl
file for your python version and architecture from https://www.lfd.uci.edu/~gohlke/pythonlibs/#pywin32 and install it with pip install pywin32‑224‑cp36‑cp36m‑win_amd64.whl
- open chrome dev tools and "undock in separate window"
- Select the offline checkbox in the dev tools
- try to go to a website and put chrome in full screen
- If you installed
win32gui
then go to https://github.com. It will look for this in the window title if there are multiple chrome windows open.
- If you installed
- run
python dino_bot.py
- click on the chrome window so the bot can send it keyboard input
- wait a couple days
- profit
Note: if you have multiple monitors, uncomment the "show image" code in src/dino_img_util.py
to see which screen the bot is looking at. You can control which monitor it uses by setting monitor_id
in dino_bot.py
- Try DQN improvements outlined here https://medium.freecodecamp.org/improvements-in-deep-q-learning-dueling-double-dqn-prioritized-experience-replay-and-fixed-58b130cc5682
- use an RNN with stateful=True
- Save/Load
random_action_chance
so you can kill the process and pickup where you left off - Add ability to train initial model on everything in the memory
- Compress pixels to binary in the memory (need to use full size image instead of scaled down one so there is no anti-aliasing)
- Profile game loop. See how high the fps can go
- See how many duplicate images are in the memory
- Selectively prefer memories that are surprising to the model
- Unit test utility functions
- Move frame rate and timing into GameEnvironment