All Stories

  1. Achieving cooperation through deep multiagent reinforcement learning in sequential prisoner's dilemmas

    Article • October 2019, ACM (Association for Computing Machinery)

    Matthew Taylor

  2. Leveraging human knowledge in tabular reinforcement learning: a study of human subjects

    Article • The Knowledge Engineering Review, January 2018, Cambridge University Press

    Matthew Taylor

  3. Nonconvex Policy Search Using Variational Inequalities

    Article • Neural Computation, October 2017, The MIT Press

    Matthew Taylor

  4. Towards Integrating Real-Time Crowd Advice with Reinforcement Learning

    Article • March 2015, ACM (Association for Computing Machinery)

    Matthew Taylor