Free
2048 (3x3, 4x4, 5x5) AI
1024 -> 2048 -> 4096
โญ๏ธ4.6 / 5
Rating
๐363
Ratings
๐ผ1 vid & 5 scs
Content
๐ฆw/o updates
Updates frequency
๐ฃโ unsupported
Your locale
- Versions
- Price History
- Description
- FAQ
All Versions of 2048 (3x3, 4x4, 5x5) AI
6.5
September 26, 2023
Some bug fixes.
6.4
August 28, 2023
Some bug fixes.
6.3
June 19, 2023
Minor bug fix
6.2
June 13, 2023
Minor bug fix
6.1
May 3, 2023
Minor bug fix
6.0
March 31, 2023
Minor bug fix
5.9
March 9, 2023
Minor bug fix
5.8
February 1, 2023
Minor bug fix
5.7
January 11, 2023
Minor bug fix
5.6
January 3, 2023
Minor bug fix
Price History of 2048 (3x3, 4x4, 5x5) AI
Description of 2048 (3x3, 4x4, 5x5) AI
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
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2048 (3x3, 4x4, 5x5) AI: FAQ
Yes, 2048 (3x3, 4x4, 5x5) AI offers an iPad version.
Jinyang Tang released the 2048 (3x3, 4x4, 5x5) AI app.
To function properly, the app requires at least iOS 17.0.
2048 (3x3, 4x4, 5x5) AI has an impressive rating of 4.6 out of 5, indicating that it is a top-quality app.
The App Genre Of The 2048 (3x3, 4x4, 5x5) Ai App Is Games.
6.5 is the most recent version of the 2048 (3x3, 4x4, 5x5) AI app.
The latest 2048 (3x3, 4x4, 5x5) AI app update was released on July 6, 2024.
2048 (3x3, 4x4, 5x5) AI was first made available on February 6, 2023.
Safe for kids, with no inappropriate or mature content.
2048 (3x3, 4x4, 5x5) AI is now available to use in American English, Arabic, Catalan and 30 more.
Sorry, 2048 (3x3, 4x4, 5x5) AI is not part of Apple Arcade.
No, 2048 (3x3, 4x4, 5x5) AI is not eligible for in-app purchases.
Unfortunately, 2048 (3x3, 4x4, 5x5) AI is not fully compatible with Apple Vision Pro.