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Faculty of Technical Sciences\n\n## Homeworks \n1. * Implementation of Softmax Policy on Multi-Armed Bandit Problem [[code]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%201/domaci1.ipynb)\u003cbr\u003e\n   * \u003cb\u003eBonus problem:\u003c/b\u003e Player VS Computer Tic-Tac-Toe (MiniMax algorithm)\u003cbr\u003e[[code]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%201/domaci1_dodatni.ipynb)\u003cbr\u003e\n2. * Finding the shortest (most cost-effective) path in a directional weighted graph for a given input node and a set of output nodes [[code]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%202/domaci2_osnovni.ipynb)\u003cbr\u003e\n   * \u003cb\u003eBonus problem:\u003c/b\u003e Selection of the optimal decision policy using the Markov Decision Process on the graph [[code]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%202/domaci2_dodatni.ipynb)\u003cbr\u003e\n3. BlackJack bot (Temporal-Difference Q-Learning) [[code]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%203/domaci3.ipynb)\u003cbr\u003e\n4. * Comparison of Q-Learning, SARSA an Monte-Carlo BlackJack agents\u003cbr\u003e\n   * \u003cb\u003eBonus problem:\u003c/b\u003e Player VS Computer Tic-Tac-Toe (Q-learning)\u003cbr\u003e[[code]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%204/domaci4.ipynb)\u003cbr\u003e\n5. Cournot competition [[code]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%205/domaci5.ipynb) [[pdf]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%205/karnoova_trzisna_utakmica.pdf)\u003cbr\u003e\n6. * Instigation game [[pdf]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%206/igra_zabusavanja.pdf)\u003cbr\u003e\n   * Instigation game from the viewpoint of lawmaker [[pdf]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%206/igra_zabusavanja_zakonodavac.pdf)\u003cbr\u003e\n7. * Replicator equations and Analysis of stability for stationary states for the following evolutonary games: \"Hawk and Dove\" and \"Rock, Papers, Scissors\" [[pdf]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%207/domaci_7.pdf)\u003cbr\u003e\n   * Evolutionary game simulation [[hawk_and_dove_code]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%207/domaci7_a.ipynb) [[rock_paper_scissors_code]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%207/domaci7_b.ipynb)\u003cbr\u003e\n8. Differential game with N aircrafts simulation [[code]](https://github.com/NikolaZubic/AppliedGameTheoryHomeworkSolutions/blob/main/Homework%208/domaci8.ipynb)\u003cbr\u003e\n\nMathematical solutions \u003cb\u003e[pdf]\u003c/b\u003e are written in Serbian language.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnikolazubic%2Fappliedgametheoryhomeworksolutions","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnikolazubic%2Fappliedgametheoryhomeworksolutions","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnikolazubic%2Fappliedgametheoryhomeworksolutions/lists"}