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Goal oriented action planner(GOAP) is AI program which can be driven by max scoring, this algorithm works on exploring potential plans to maximize score and choses the action according to plan. check out the src directory for planner, this capability was tested on MIT-Battle code 2017. I would like to welcome others to try and collaborate, I am …

  • Updated Mar 11, 2017
  • Java

Team Waterloo Omega Ruby's submission for MIT Battlecode 2017. This is the 2nd place finisher (out of over 1000+) for MIT Battlecode 2017. Made by Jacob Jackson (@zxqfl), Jeffrey Xiao (@jeffrey-xiao), and Ben Zhang (@benzyx).

  • Updated Jan 7, 2018
  • Java

A bot I created in Java for MIT's 2018 Battlecode tournament. Placed in the top 32 teams. The team was called Mellow Dirt and consisted of only me. The tournament was under a month long. This bot was created in 2.5 weeks. The strategy was Ranger/Mage rush with a few Healers while Workers gathered. All units used A-star pathfinding, optimized by …

  • Updated Apr 9, 2018
  • Java

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