This project is an AI-based service designed to provide AI bot jockeying for Mobile Legends (ML). The goal is to create an efficient and intelligent AI model that can play the game and help users rank up without having to play the game manually.
In popular online multiplayer games like Mobile Legends (ML), many people work as jockeys, using their skills to help others rank up. However, instead of hiring human players, this project uses AI bots to automatically play the game on behalf of the user. The AI models are designed to be efficient, intelligent, and capable of climbing ranks quickly and strategically.
The main features of this AI system are:
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AI Teams (5v5): The game requires a 5-player team. All five players in the team will be AI bots. The bots need to work together, using good coordination and strategy to win.
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Efficient Ranking: The AI bots are designed to win consistently and quickly climb the rank ladder without losing, ensuring the most efficient ranking process.
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Team Coordination: The bots are programmed to communicate and cooperate as a team, ensuring smooth gameplay and strategic decision-making.
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Strategy & Performance: The AI learns and adapts to different in-game situations, ensuring it can execute strategies, such as when to attack, retreat, or support teammates.
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AI Training: The AI models will be trained using data from various Mobile Legends matches, analyzing different scenarios and decision-making processes from top-tier players.
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Multi-Agent System: Each bot in the team will communicate with others in real-time, creating a well-coordinated and efficient team.
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Reinforcement Learning: The AI bots will utilize reinforcement learning to improve their decision-making abilities based on past experiences and outcomes, ensuring continuous improvement.
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Efficient Performance: The system aims to optimize performance, making sure the AI plays in the most efficient and effective way possible to increase rank.
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Better Team Coordination: Further improving the interaction between bots, making sure they can communicate even more effectively and perform well under different situations.
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Advanced Strategy Development: Adding more complex strategies to handle various playstyles and counter strategies against human players.
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User Customization: Allowing users to customize the AI's gameplay preferences, such as aggressive play, defensive play, or support roles.
- Testing & Optimization: The system is still in development and will require ongoing testing and optimization to ensure high-level performance in actual matches.