Legends of Glory × GameBot
MOBA
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Challenge
Rigid behavior-tree bots and long matchmaking queues caused by a small player pool, resulting in poor player retention.
Solution
GameBot introduced a hybrid AI system combining supervised learning (SL), reinforcement learning (RL), and language model (LM). This system delivered adaptive, human-like bots that improved both match quality and in-game communication.
Dynamic Heroes:
Built on our SL+RL framework, bots mastered nearly 100 heroes, from Novice to Superstar tiers. New hero releases felt natural and scaled dynamically to match player skill.
Smooth Matchmaking:
Powered by our SL framework, dynamic ELO scaling allowed bots to seamlessly fill matches across all modes—including 5v5 Brawl—significantly cutting wait times while preserving competitive balance.
In-Match Interaction:
With a multimodal deep learning model, bots interpreted game context, signals, and text to generate both actions and chat responses in real time, enhancing teamwork and communication.
Impact
Retention: over 3% for a 14-day period