Python Gym Environment for the popular Risk game
Project description
risk
This project is the python plug and play implementation of the game risk.
TC1 (reached)
We have reached TC1 when:
- we have created a general structure for the game (folder structure, packages, deployment) (reached)
- we have defined the observation space (reached)
- we have defined the action space (reached)
TC2 (reached)
We have reached TC2 when:
- We have implemented Version 1 (v1) (reached)
TC3 (due date 21-12-2018)
We have reached TC3 when:
- We have assigned an executor to each of the following bullet points
- We have moved
humain.py
to the environment (there is ahuman mode
for that) - We are able to load and store graphs (either through own implementation or via the NetworkX library)
- We have enhanced code readability (refactor classes and functions to be understood more easily)
- We have documented the written code (correlates with the point above)
- We have implemented Version 2 (v2)
TC4 (due date 22-03-2019)
We have reached TC4 when:
- We have implemented the actual risk map as our graph
- We have implemented the troop deployement
- We have playermoves consisting of seperate stages
- We have added Tests for our main features
TC5 (due date xx-xx-2019)
We have reached TC5 when:
- We have implemented the random card reward for a won country
TC6 (due date xx-xx-2019)
We have reached TC6 when:
- We have implemented the random dice roll to determine the outcome of a fight
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