Deep Learning Bot for League of Legends


  • Aishwarya Lohokare University of Southern California
  • Aayush Shah University of Southern California
  • Michael Zyda University of Southern California



In this paper, we take the first step towards building comprehensive bots capable of playing a simplified version of League of Legends, a popular 5v5 online multiplayer game. We implement two different agents, one using Reinforcement Learning and the other via Supervised Long Short Term Memory Network. League of Legends provides a partially observable game environment with an action space much larger than games like Chess or Go. Source code and demonstrations can be found at




How to Cite

Lohokare, A., Shah, A., & Zyda, M. (2020). Deep Learning Bot for League of Legends. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 16(1), 322-324.