This repository contains code for a custom environment designed for reinforcement learning (RL) tasks of a Fishing Derby Game. The structure of the repository is organized as follows:
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model.py: This file contains the code for training the RL model.
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custom_environment.py: This file implements the custom environment used for training the RL agent.
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test.py: This file is used for testing the trained RL model.
To visualize the game without a trained model, navigate to the env directory: cd Custom Environment/custom-environment/env
Then, run the following command: python ./tesr.py.
This will run the visualization of the game without using any trained model.
To visualize the RL trained model, use the following command: python ./test.py
This command will not only visualize the game but also print the output coordinates of agents.