Richard Sutton
Individual researcher
Temporal-difference learning, Dyna, reinforcement learning, continual experience.
AI Thought Leadership · Individual
Reinforcement learning and real-world robot learning.
Type
Individual (Individual researcher)
Directory section
Additional person profiled
What to monitor
Not stated in the source directory
Directory last reviewed
August 16, 2026
Reinforcement learning and real-world robot learning.
Topics. ML; agents; world models
Berkeley profile. Simulation and physical evaluation should be distinguished.
Inclusion in this directory is a monitoring decision by Implement Agentic. It is not an endorsement, a partnership, a client relationship, or a claim that this person or organization endorses us. Product claims and personal forecasts must be traced to technical evidence before they are used as fact.
Individual researcher
Temporal-difference learning, Dyna, reinforcement learning, continual experience.
Individual researcher
Backpropagation, distributed representations, deep learning; later AI-risk commentary.
Individual researcher
Neural language modeling, representation learning, deep learning, scientific ML, safety.