This is a game strategy that I implemented for Russian AI Cup 2017: Code Wars in November 2017 - January 2018. Russian AI Cup is an annual online competition between game strategies. This year's rules (both in English and in Russian) can be found here.

Noteworthy points:

• Main challenge: the given API doesn't allow to control units directly. Instead, you should control "a virtual computer mouse" as the only way to select units is by specifying coordinates of a bounding rectangle.
• With the given API, it's not easy to chain different actions (you can execute only one per turn). In order to do that and to avoid chaos in code, I implemented the Command design pattern: see base class Action and 10 classes derived from it.
• Several times (1, 2, 3) I used the same approximation technique to estimate desired min/max values fast: instead of doing heavy precise calculations, I subdivide the playing field into n equal squares (where n is the field's side length) and treat each such square as a single point containing all of the square's units.
• Entry point is MyStrategy class. Each tick, entry point is MyStrategy::move().
• Planned actions are stored in std::deque (urgent ones are added to its head when its first element stands for the beginning of a new chain of actions, all the other ones - to its tail).
• I implemented two different strategies for games with and without buildings (in DecisionMakerForGameWithBuildings and DecisionMakerForGameWithoutBuildings respectively). However, they also share some common methods. These methods reside in the base class DecisionMaker, as well as in its helper classes NuclearAttackHandler, MotionlessnessChecker and VehicleValueEstimator.
• This repository contains only my code. Files which define the game rules and API for the strategy can be downloaded here.

As for results,

• In the official track, I advanced to Round 2 (Top-360 out of about 1000 participants) and finished on the 123rd place.
• In the "Sandbox", I finished on the 177th place.
• Unofficially, the "Sandbox" is still running, and my strategy is generally climbing upwards by small steps - currently around 150th place.