Basic Enemy AI for Godot Game
₹1500-12500 INR
Paid on delivery
I'm looking to incorporate Reinforcement Learning algorithms (DQN and Actor Critic) within my existing Godot game. The objective is to enhance the behavior of the slime entity, enabling it to both chase and attack the player.
Key Points:
- The game is in 2D, so experience with Godot's 2D engine is essential.
- This project involves integrating a machine learning plugin into a game.
- The AI of the slime entity should be at a basic level, with simple and predictable patterns, and should not be too complex.
Ideal Freelancer:
- Proficient in Godot engine, with experience in 2D game development.
- Skilled in machine learning, particularly with reinforcement learning algorithms such as DQN and Actor Critic.
- Understanding of game AI, and able to implement AI at a basic level.
- Good communication skills is a plus, as I would like to understand the process and logic behind the AI's implementation.
Upon a successful defeat of weither the player or the slime, the slime should reset to its initial position. I'm open to suggestions for further improvement and optimization of the AI behavior within the game.
Project ID: #38093064
About the project
3 freelancers are bidding on average ₹12833 for this job
Hello there, With 7 years of game development experience, I'll integrate DQN and Actor Critic into your 2D Godot game for the slime's behavior. Proficient in Godot and ML, I'll ensure seamless integration and design s More
