2048 (3x3, 4x4, 5x5) AI Читы

2048 (3x3, 4x4, 5x5) AI Взлом 6.3 + Чит Коды

1024 -> 2048 -> 4096

Разработчик: Huan Lin
Категория: Игры
Цена: Бесплатно
Версия: 6.3
ID: com.dian.mn

Скриншоты

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Описание

Classic 2048 puzzle game redefined by AI.

Our 2048 is one of its own kind in the market. We leverage multiple algorithms to create an AI for the classic 2048 puzzle game.

* Redefined by AI *
We created an AI that takes advantage of multiple state-of-the-art algorithms, including Monte Carlo Tree Search (MCTS) [a], Expectimax [b], Iterative Deepening Depth-First Search (IDDFS) [c] and Reinforcement Learning [d].

(a) Monte Carlo Tree Search (MCTS) is a heuristic search algorithm introduced in 2006 for computer Go, and has been used in other games like chess, and of course this 2048 game. Monte Carlo Tree Search Algorithm chooses the best possible move from the current state of game's tree (similar to IDDFS).

(b) Expectimax search is a variation of the minimax algorithm, with addition of "chance" nodes in the search tree. This technique is commonly used in games with undeterministic behavior, such as Minesweeper (random mine location), Pacman (random ghost move) and this 2048 game (random tile spawn position and its number value).

(c)Iterative Deepening depth-first search (IDDFS) is a search strategy in which a depth-limited version of DFS is run repeatedly with increasing depth limits. IDDFS is optimal like breadth-first search (BFS), but uses much less memory. This 2048 AI implementation assigns various heuristic scores (or penalties) on multiple features (e.g. empty cell count) to compute the optimal next move.

(d) Reinforcement learning is the training of ML models to yield an action (or decision) in an environment in order to maximize cumulative reward. This 2048 RL implementation has no hard-coded intelligence (i.e. no heuristic score based on human understanding of the game). There is no knowledge about what makes a good move, and the AI agent "figures it out" on its own as we train the model.

References:
[a] https://www.aaai.org/Papers/AIIDE/2008/AIIDE08-036.pdf
[b] http://www.jveness.info/publications/thesis.pdf
[c] https://cse.sc.edu/~MGV/csce580sp15/gradPres/korf_IDAStar_1985.pdf
[d] http://rail.eecs.berkeley.edu/deeprlcourse/static/slides/lec-8.pdf

История обновлений

6.3
2023-06-19
Minor bug fix
6.2
2023-06-13
Minor bug fix
6.1
2023-05-03
Minor bug fix
6.0
2023-03-31
Minor bug fix
5.9
2023-03-09
Minor bug fix
5.8
2023-02-01
Minor bug fix
5.7
2023-01-11
Minor bug fix
5.6
2023-01-03
Minor bug fix
5.5
2022-12-18
Minor bug fix
5.4
2022-12-15
Minor bug fix
5.3
2022-11-28
Minor bug fix.
5.2
2022-10-23
Minor bug fix
5.1
2022-10-05
Minor bug fix
5.0
2022-10-01
Minor bug fix
4.9
2022-08-23
Minor bug fix
4.8
2022-07-29
Minor bug fix
4.7
2022-07-10
Slightly updated the AI algorithm
4.6
2022-06-07
Slightly adjusted color
4.5
2022-05-24
Slightly adjusted color
4.4
2022-05-05
Slightly adjusted color
4.3
2022-04-22
Slightly adjusted color
4.2
2022-03-22
Slightly adjusted tile color.
4.1
2022-03-17
Slightly adjusted tile color.
4.0
2022-02-13
Slightly adjusted color
3.9
2022-02-04
Slightly adjusted tile color

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Рейтинг

4.8 из 5
738 Голосов

Отзывы

Realtation,
Супер!
Отличный сборник мини игр! Игра стала любимой! Спасибо
yandextransport,
Best multi-tool app
Includes many useful features for free
Denis Golovanov,
Annoying advertising
Annoying advertising
Tiandong1362,
Match 3 не проходим
В match 3 проблема с уровнем 679
denis aberemov,
How to disable ads?
Favorite game but how can I disable ads? Ready to buy the full version but have no such option..
Frdedededed,
a very good app
i really loved this new update, you added so many great functions!!!
poperedition,
🙊
Игра топ🫶🏼
Можете сделать пожалуйста темную
Тему
[LambadaGreen],
it contains literally anything
best app
Gogi201,
Супер
Все любимые игры в одном месте
yutrofimov,
Best of all
Очень понравилось! Спасибо разработчикам 👍