Collaborators: Ajay Pal, Rishabh Sachdeva, Rohan Gujarathi and Kushal Mehta

CMSC 671 (Fall 2018) Final project

Code for the final project of CMSC 671 course (Fall 2018)

To run the code, use the following command:

$ python play.py --height 10 --width 10 \
  --num-powerups 2 --num-monsters 1  --num-dynamic-monsters 1\
  --initial-strength 100 \
  --save-dir map1/ \
  --verbose --show-map --map-type emoji

If you want to play against a human (having a human player as an agent in addition to the random or your implemented agent), use the --play-against-human flag when calling play.py.

To implement a new agent, create a new agent class inheriting from the BaseAgent class in the agent.py file. You just need to implement the step(...) function. Take a look at how RandomAgent has been implemented. You can also switch to HumanAgent to play by hand and see map printouts.

Requirements

• Python >= 3.6
• Numpy
• Emoji (package: emoji) -- if you want emoji maps