update readme

README.md

@@ -82,8 +82,8 @@ The models in this repository follow the naming convention `Tau_<series>_<max_st
 
 1. Clone the repository:
    ```bash
-   git clone https://github.com/yourusername/tau-llm-unity-ml-agents.git
-   cd tau-llm-unity-ml-agents
+   git clone https://github.com/p3nGu1nZz/Tau.git
+   cd tau\MLAgentsProject
    ```
 
 2. Install the required Python packages:
@@ -98,14 +98,15 @@ The models in this repository follow the naming convention `Tau_<series>_<max_st
 
 To start training the agent, run the following command:
 ```bash
-mlagents-learn config/trainer_config.yaml --run-id=run1
+mlagents-learn .\config\tau_agent_ppo_c.yaml --run-id=tau_agent_ppo_A0 --env .\Build --torch-device cuda --timeout-wait 300 --force
 ```
+Note: The preferred way to run a build is by creating a new build into the `Build` directory which is referenced by the above command.
 
 ### Monitoring Training
 
 You can monitor the training progress using TensorBoard:
 ```bash
-tensorboard --logdir=results --port=6006
+tensorboard --logdir results 
 ```
 
 ## Results