Adds Quixo
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@ -28,6 +28,7 @@ games like Chess, Go, Hex, take a look at the [Chess programming wiki](https://w
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- [Lost Cities](#lost-cities)
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- [Uno](#uno)
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- [Dominion](#dominion-1)
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- [Quixo](#quixo)
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- [Mobile Games](#mobile-games)
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- [2048](#2048)
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- [Game Design](#game-design)
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@ -156,6 +157,10 @@ games like Chess, Go, Hex, take a look at the [Chess programming wiki](https://w
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I couldn't find any published research on Dominion, but there is a [simulator](https://dominionsimulator.wordpress.com/f-a-q/) and the code behind
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[the Dominion server running councilroom.com](https://github.com/mikemccllstr/dominionstats/) is available. There are [best and worst openings](http://councilroom.com/openings), [optimal card ratios](http://councilroom.com/optimal_card_ratios), [Card winning stats](http://councilroom.com/supply_win) and lots of other interesting stuff.
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# Quixo
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- [QUIXO is EXPTIME-complete](https://doi.org/10.1016/j.ipl.2020.105995)
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# Mobile Games
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- [Trainyard is NP-Hard](https://arxiv.org/abs/1603.00928)
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- [Threes!, Fives, 1024!, and 2048 are Hard](https://arxiv.org/abs/1505.04274)
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@ -176,5 +181,4 @@ I couldn't find any published research on Dominion, but there is a [simulator](h
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- [MDA: A Formal Approach to Game Design and Game Research ](https://www.aaai.org/Papers/Workshops/2004/WS-04-04/WS04-04-001.pdf)
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# Frameworks/Toolkits
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- [RLCard: A Toolkit for Reinforcement Learning in Card Games](https://arxiv.org/abs/1910.04376)
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- [RLCard: A Toolkit for Reinforcement Learning in Card Games](https://arxiv.org/abs/1910.04376)
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