Richard Sutton
Individual researcher
Temporal-difference learning, Dyna, reinforcement learning, continual experience.
AI Thought Leadership · Individual
Bayesian networks and causal reasoning.
Type
Individual (Individual researcher)
Directory section
Additional person profiled
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Directory last reviewed
August 16, 2026
Bayesian networks and causal reasoning.
Topics. Knowledge representation; reliability
UCLA profile. Distinguish probabilistic association from causal identification.
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.