This project implements an intelligent bot for the Halite game using C++ with an integrated Runtime Engine. The bot employs sophisticated algorithms to maximize territorial control and achieve optimal scoring through strategic gameplay.
Halite is a competitive artificial intelligence programming challenge where players create bots to compete in a resource management and territorial expansion game. Each bot must make strategic decisions about movement, combat, and resource allocation to dominate the game board.
- Runtime Engine Integration: Built within the official framework provided by the Halite competition organizers
- Greedy Algorithm Implementation: Utilizes a greedy approach to prioritize high-value targets and optimize bot strength allocation
- Strategic Cell Targeting: Efficiently saves bot strength to attack the highest scoring cells first
- Real-time Decision Making: Processes game state and makes optimal moves within time constraints
- Language: C++
- Framework: Official Halite competition framework
- Algorithm: Greedy optimization with strength conservation
- Strategy: Priority-based cell targeting system
The bot implements a greedy strategy that:
- Evaluates all potential target cells based on their scoring value
- Prioritizes attacks on high-value cells
- Conserves bot strength for maximum impact
- Optimizes movement patterns for territorial expansion
Winner of the Champions League Competition
- Host: POLYTECHNIC University of Bucharest
- Faculty: Automatic Control and Computers
- Achievement: 1st Place
The project includes visual documentation showing:
- Bot performance metrics and statistics
- Competition rankings and results
- Game state visualizations and strategic analysis
Special thanks to Andrei Buhnici for providing valuable advice, strategic insights, and implementation ideas that contributed to the success of this project.
- Competitive Programming: Algorithm design for real-time strategy games
- C++ Development: Advanced C++ programming with performance optimization
- Game AI: Artificial intelligence for strategic decision making
- Framework Integration: Working within established competition frameworks
- Strategy Optimization: Greedy algorithms and resource management
- Clone the repository
- Set up the Halite competition environment
- Compile the bot using the provided framework
- Run simulations to test and optimize the strategy
- Submit to competitions or local tournaments
- Machine Learning Integration: Implement neural networks for enhanced decision making
- Multi-threaded Processing: Optimize performance for complex game states
- Advanced Heuristics: Develop more sophisticated evaluation functions
- Statistical Analysis: Add comprehensive performance tracking and analysis
This project demonstrates expertise in competitive programming, game AI development, and strategic algorithm implementation within the context of the prestigious Halite competition.