League of Legends × GameBot
MOBA
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Challenge
Rigid behavior tree bots and frustrating difficulty control for mid- to low-rank players, resulting in high churn rates and a spike in player complaints.
Solution
For League of Legends: Wild Rift, GameBot implemented a hybrid AI solution leveraging our advanced supervised learning (SL) framework to create adaptive bots capable of matching players across all skill levels. Key features included:
Advanced Training:
Bots learn from player behaviors and in-game decisions in real-time, eliminating rigid, predictable patterns and enhancing engagement.
Top Champion Coverage:
AI agents were deployed across 60 top champions, with skill-level adaptability spanning Iron to Platinum ranks, ensuring an appropriate challenge for all players.
Dynamic Confidence-Building Matches:
Two modes were introduced:
- 1v9 Warm-Up Scenarios for solo practice
- 5v5 Full-Team Simulations for realistic team play
Bots also offered simple post-defeat quests to help players regain confidence and maintain engagement, ultimately improving retention.
Impact
DAU: over 3.6% compared to behavior tree bots
Winning Rate: up to 98% after deployment of confidence-building bots