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person1980s-present

Ronald Williams

Disciplines:
machine learning
artificial intelligence

Summary

American computer scientist who co-developed the backpropagation algorithm and developed the REINFORCE algorithm — the foundation of policy gradient methods in reinforcement learning.

Core Contribution

Co-developed backpropagation with Rumelhart and Hinton (1986). REINFORCE (1992): a policy gradient algorithm for reinforcement learning — directly optimizes a stochastic policy using gradient ascent. Foundation of modern deep reinforcement learning.

Notable Works & Achievements

Learning Representations by Back-propagating Errors

Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Historical Influences

David Rumelhart Geoffrey Hinton

Intellectual Lineage

Machine Learning

Contemporaries & Peers

Geoffrey Hinton David Rumelhart

Minds Influenced

Deep Reinforcement Learning

Intellectual Posterity

Deep Learning Deep Reinforcement Learning

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