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Session Name:

Pain and Gain: Obtained from Applying a Reinforcement Learning Game Bot to 'BarbarQ 2'

Overview:

In the online mobile video game, BarbarQ 2 by Electronic Soul, reinforcement learning-based game bots are applied to its 3vs3vs3 gameplay. These RL-based game bots are used as teammates or opponents of the human players. It turns out that the RL-based bots really improve the player experience.However, there are a lot challenges in the development process, including the difference between game and AI, game-side bugs impacting negatively on AI model, difficulty of lifting the human-like level of game bots, and more. Fortunately, some innovative ideas have been implemented to solve these problems.The high-quality game-bots are now available in the game. Some risks, ideas and benefits of applying RL-based game bots will be talked in the session.

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