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Experts in 'reinforcement learning'

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  Professor Sean Collins
Post(s): Emeritus Professor, School of Mathematics
Areas of expertise: My research interests cover a variety of themes in the area of stochastic optimisation, including the theory of Markov decision...
Keywords: optimisation under uncertainty | behavioural biology | applied probability | stochastic optimisation | game theory | reinforcement learning | behavioural ecology
  Dr David Leslie
Post(s): Visiting Fellow, School of Mathematics
Areas of expertise: Multi-agent learning Mathematical methods for coordinating independent agents through learning. In particular, reinforcement...
Keywords: multi-agent learning | learning in games | stochastic approximation | game theory | reinforcement learning | Bayesian modelling | Dirichlet process | sequential Monte Carlo
  Dr Vladislav Tadic
Post(s): Senior Lecturer in Statistics, School of Mathematics
Areas of expertise: My research interests lie on the interface of statistics, optimization and Monte Carlo simulations, and are tightly connected...
Keywords: statistics | Monte Carlo simulations | Monte Carlo methods | stochastic optimization | stochastic dynamic programming | reinforcement learning