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Python Gym Environment for the popular Risk game

Project description


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 to the environment (there is a human 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

Project details

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