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COTA - A New Game Agent Launched by Hyperparameter Technology

Author: AI小集 · Original source: AI工具集

What is COTA

COTA is a new game agent launched by Hyperparameter Technology, driven by a large language model (LLM), with cognitive, operational, tactical, and assistive capabilities. COTA breaks through traditional reinforcement learning and supervised learning models, achieving hundred-millisecond-level response through architectural innovation, reaching the level of high-scoring human players. COTA performs excellently in FPS game tests, approaching human levels from individual combat to team coordination. COTA's biggest highlight is its use of chain-of-thought technology, making the AI decision-making process transparent and explainable, allowing players to clearly understand the logic behind AI behavior. COTA elevates the level of game AI, bringing new possibilities for future game development and experience.

COTA

COTA's Main Functions

  • Advanced Tactical Decision-Making: COTA can formulate macro tactics, such as analyzing the map, judging enemy intentions, and formulating strategic guidelines (such as "everyone RUSH" or "tactical retreat").
  • Precise Operation Execution: At the micro level, COTA can execute complex operations, such as counter-strafe shooting, cover play, smoke grenades, planting and defusing the bomb, etc., and complete tactical coordination in multiplayer confrontations.
  • Thought Explainability: Through Chain of Thought (CoT) technology, COTA makes the decision-making process transparent. Players can view the AI's thought derivation stream in real time and understand the reason behind each behavior.
  • Real-Time Response Capability: COTA's response time reaches the hundred-millisecond level (as fast as 100ms), meeting the needs of real-time game scenarios.

COTA's Technical Principles

  • Model Selection: COTA is based onQwen3-VL-8B-Thinkingmodel, with a model parameter size of 8B, balancing performance and efficiency, suitable for real-time game scenarios.
  • Dual-System Layered Architecture: COTA adopts an innovative "dual-system layered architecture", simulating the collaborative working mode of the human brain's "fast and slow systems". The upper-layer "Commander" is responsible for macro tactical reasoning and outputs strategic arrangements; the lower-layer "Operator" converts strategic instructions into specific operations and executes micro tactics. It effectively decouples the decision-making chain and improves overall performance.
  • Training Method: COTA's training process includes three stages: first, supervised fine-tuning (SFT) using a high-quality game CoT dataset to complete cold start; introducing Group Relative Policy Optimization (GRPO) to strengthen the model's decision-making robustness in complex situations through large-scale self-play; through Direct Preference Optimization (DPO) and alignment with data from high-end human players, improving the readability of the chain of thought and the anthropomorphism of operations.
  • Chain-of-Thought Technology: Through Chain of Thought (CoT) technology, COTA turns the AI's decision-making process from a "black box" into a "white box". In the CoT panel, users can clearly see the real-time scrolling thought derivation stream and understand the reason behind each AI behavior. The transparent decision-making process improves the explainability of AI and provides game developers and players with a more intuitive way to understand and interact.

COTA's Project Address

  • COTA Reservation Application Address：https://www.chaocanshu.cn/product/cota_apply

COTA's Application Scenarios

  • Game Development: COTA can be used as a development tool for highly realistic NPCs. The "white-boxed" chain-of-thought function helps developers intuitively review AI decision logic and optimize the debugging process.
  • Game Experience Optimization: COTA can become a player's "high-IQ teammate" through natural language interaction, providing tactical guidance and collaborative operations, enhancing game immersion and interactivity, and improving the player experience.
  • Esports Training: COTA can provide esports players with a high-level competitive environment, assist tactical training, and its transparent decision-making process can serve as a teaching tool.
  • Education and Teaching: COTA's transparent decision-making mechanism is a high-quality tool for AI teaching and research, helping students understand the principles of complex models.
  • Technology Transfer: COTA's technical architecture and training methods have strong transferability and can be applied to complex decision-making fields such as intelligent transportation, industrial automation, and medical assistance.