6/2/2023 0 Comments Roller champions narraratorThis is for ML/AI programmers interested in reinforcement learning usage and technological advancement in game production. ![]() The goal is to help future machine learning programmers identify the challenges related to this technology, enlightening the workflow steps to model complex NPC behaviors required to achieve a production-ready quality. TakeawayĪttendees will gain useful insights into managing specific reinforcement learning issues in a multi-agent system environment. According to video game reporter and insider Jeff Grubb, Ubisoft is planning to formally cancel Roller Champions after the game's third season comes to a close. This talk aims to unveil the multiple challenges facing the introduction of deep reinforcement learning (Deep RL) in a real-world game production that must deliver high-end results in a multi-player environment where agents must effectively collaborate with real players.Įva Raggini, Machine Learning Programmer at Ubisoft, will show how the team achieved the modeling of multiple complex behaviors using multi-agent reinforcement learning (MARL), how they overcame a range of difficulties within complex training environments, their approach to handling collaboration between agents and players, and why they incorporated changes in the production workflow to rely more heavily on machine learning inference. In this context, it is essential to elaborate on less predictable behaviors closer to human actions to keep the player's interest and immersion. Sports video games like Roller Champions usually require more-advanced AI teammates with real-time strategic collaboration, and more complex and realistic agent interactions.
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