Rich Sutton
Research scientist and professor known for foundational research in reinforcement learning, co-winner of the 2024 ACM Turing Award and co-author (with Andy Barto) of a key textbook on reinforcement learning.
Top 3 podcasts with Rich Sutton
Ranked by the Snipd community
Mar 16, 2026 • 34min
Reinforcement Learning with Rich Sutton
Rich Sutton, research scientist and professor celebrated for foundational work in reinforcement learning and a 2024 Turing Award co-winner. He defines learning from trial and error, traces RL’s historical roots, explains temporal-difference learning, and contrasts RL with supervised approaches. He discusses early successes like TD-Gammon and AlphaGo, limits of deep learning representations, and open problems in continual representation learning.
Feb 20, 2026 • 28min
Is the AI-Led Software Selloff Justified? (The Derby Mill Series ep 23)
Suzanne Gildert, founder/CEO exploring AI–human integration. Rich Sutton, Turing Award pioneer in reinforcement learning. Niamh Gavin, applied AI scientist and CEO focused on foundation models. They debate whether AI justified the software selloff, how AI rewrites product cycles and orgs, risks from opaque models and hallucinations, and a possible future of AI-merged humans versus those who opt out.
Dec 31, 2023 • 55min
Rich Sutton Brings Reinforcements - 72nd Conversation
Computer scientist Rich Sutton, a quiet giant of machine learning, joins the hosts in a conversation about reinforcement learning, the potential of smarter entities, distributed computation, centralized systems, goal selection, emergence of human intelligence, centralization vs decentralization in reinforcement learning, and the nature of science.
