Update README.md

README.md

@@ -4,7 +4,7 @@ tags:
 - deep-q-network
 - reinforcement-learning
 - pathfinding
-- hospital-floorplan
+- floorplan
 license: apache-2.0
 datasets:
 - custom
@@ -13,11 +13,11 @@ metrics:
 - success_rate
 ---
 
-# Deep Q-Network for Hospital Floorplan Navigation
+# Deep Q-Network for Floorplan Navigation
 
 ## Model Description
 
-This model is a Deep Q-Network (DQN) designed to find the most efficient path through a hospital floorplan for wheeling a bed without hitting obstacles. The model combines traditional pathfinding algorithms with reinforcement learning for optimal performance.
+This model is a Deep Q-Network (DQN) designed to find the most efficient path through a floorplan without hitting obstacles. The model combines traditional pathfinding algorithms with reinforcement learning for optimal performance.
 
 ## Model Architecture
 
@@ -29,7 +29,7 @@ The model is a fully connected neural network with the following architecture:
 ## Training
 
 The model was trained using a hybrid approach:
-1. **A* Algorithm**: Initially, the A* algorithm was used to find the shortest path in a static environment.
+1. **A(*) Algorithm**: Initially, the A* algorithm was used to find the shortest path in a static environment.
 2. **Reinforcement Learning**: The DQN was trained with guidance from the A* path to improve efficiency and adaptability.
 
 ### Hyperparameters
@@ -41,7 +41,7 @@ The model was trained using a hybrid approach:
 
 ## Usage
 
-To use this model, load the saved state dictionary and initialize the DQN with the same architecture. The model can then be used to navigate a hospital floorplan and find the most efficient path to the target.
+To use this model, load the saved state dictionary and initialize the DQN with the same architecture. The model can then be used to navigate a floorplan and find the most efficient path to the target.
 
 ### Example Code
 
@@ -112,7 +112,7 @@ If you use this model in your research, please cite it as follows:
 author = {Christopher Jones},
 title = {Deep Q-Network for Floorplan Navigation},
 year = {2024},
-howpublished = {\url{https://huggingface.co/cajcodes/dqn-hospital-floorplan}},
+howpublished = {\url{https://huggingface.co/cajcodes/dqn-floorplan-finder}},
 note = {Accessed: YYYY-MM-DD}
 }
 ```