Search:
Match:
2 results
Research#AI in Gaming📝 BlogAnalyzed: Dec 29, 2025 07:48

Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517

Published:Sep 9, 2021 17:35
1 min read
Practical AI

Analysis

This article from Practical AI discusses the application of deep reinforcement learning (DRL) in game testing at Electronic Arts (EA). It features an interview with Konrad Tollmar, a research director at EA and professor at KTH, focusing on how EA's SEED team utilizes ML/AI in popular game franchises like Apex Legends, Madden, and FIFA. The conversation covers the team's research agenda, the challenges of applying DRL to modern 3D games compared to Atari games, the use of Convolutional Neural Networks (CNNs) for glitch detection, and Tollmar's perspective on the future of ML in game training. The article highlights the practical applications of AI in the gaming industry.
Reference

We break down a few papers focused on the application of ML to game testing, discussing why deep reinforcement learning is at the top of their research agenda...

Research#MLOps📝 BlogAnalyzed: Dec 29, 2025 07:54

Architectural and Organizational Patterns in Machine Learning with Nishan Subedi - #462

Published:Mar 8, 2021 20:13
1 min read
Practical AI

Analysis

This article from Practical AI discusses machine learning architecture and organizational patterns with Nishan Subedi, VP of Algorithms at Overstock.com. The conversation covers Subedi's journey into MLOps, Overstock's use of ML/AI for search, recommendations, and marketing, and explores architectural patterns, including emergent ones. The discussion also touches on the applicability of anti-patterns in ML, the potential for architectural patterns to influence organizational structures, and the introduction of the 'Squads' concept. The article provides a valuable overview of current trends in ML architecture and organizational design.
Reference

We spend a great deal of time exploring machine learning architecture and architectural patterns, how he perceives the differences between architectural patterns and algorithms, and emergent architectural patterns that standards have not yet been set for.