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