No project description provided
Project description
aif
- Generate some Mazes
- Implement course solutions
- BFS
- DFS
- Greedy
- A*
- Manhattan Heuristic
- Euclidean Heuristic
- Overkill Heuristic that destroys both Manhattan and Euclidean
- Dijkstra
- Genetic Algorithm
- DL/RL approaches
- Q-Learning
- Q-Learning with NN and Experience Replay
- Q-Learning with LSTM and Experience Replay
- A* with NN heuristic
- A* with LSTM heuristic
- A* with CNN heuristic
- Q-Learning
- Evaluation Metrics
- Time
- Number of Nodes Expanded
- Number of Nodes in the Path
- Number of Nodes in the Solution
- Number of Nodes in the Maze
| Heuristics | Manhattan | Euclidean | NNHeuristic |
|---|---|---|---|
| Implemented | :white_check_mark: | :white_check_mark: | :white_check_mark: |
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nextdataAI-0.0.16.tar.gz
(19.7 kB
view details)
Built Distribution
File details
Details for the file nextdataAI-0.0.16.tar.gz.
File metadata
- Download URL: nextdataAI-0.0.16.tar.gz
- Upload date:
- Size: 19.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 30b494328f17058be8b6e80f424d2228f59b5e42502b876d4a53e85f918cca11 |
|
| MD5 | a7871ef8173b83b3912cba3bca1b2d9e |
|
| BLAKE2b-256 | cc2f3ac6a53109738e1f608be13c885a7c0d4c9550d3c7647698d32a092a3251 |
File details
Details for the file nextdataAI-0.0.16-py3-none-any.whl.
File metadata
- Download URL: nextdataAI-0.0.16-py3-none-any.whl
- Upload date:
- Size: 32.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 53b1b24b66c0bf435ec17517260bf36881f40bab29e42ba5a40e35d204cd0eb2 |
|
| MD5 | 2550d5c5d9aecae0f33fc85b430ed532 |
|
| BLAKE2b-256 | 4206ad5d2423fbb304b9cd141620231d8d4be1baa5eedc0555098c124b4143e5 |
