Abhishek Naik

Abhishek Naik, a postdoctoral fellow at the National Research Council of Canada, recently completed his PhD in reinforcement learning under Rich Sutton. He explores average reward methods and their implications for continuous decision-making in AI. The discussion dives into innovative applications in space exploration and challenges in resource allocation, drawing on examples like Mars rovers. Abhishek emphasizes the transformative power of first-principles thinking, highlighting how AI advancements are shaping the future of spacecraft control and missions.

David Radke from the Chicago Blackhawks shares insights on using reinforcement learning in professional sports to enhance team performance. Abhishek Naik discusses the significance of continuing reinforcement learning and average reward, sparking a conversation about adaptability in AI. Daphne Cornelisse dives into autonomous driving and multi-agent systems, focusing on how to improve human-like behavior. Shray Bansal examines cognitive bias in human-AI teamwork, while Claas Voelcker tackles the complexities of hopping in reinforcement learning. Each guest brings a unique perspective on cutting-edge research.