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| Dr Rafal Bogacz | |
| Post(s): | Visiting Fellow, Department of Computer Science |
| Areas of expertise: | My research focuses on computational neuroscience, and in particular on computational models of decision making in the mamalian... |
| Keywords: | computational neuroscience | computational models of decision making | mamalian brain | choice processes | Parkinson's disease | reinforcement learning | familiarity discrimination |
| Dr Sean Collins | |
| Post(s): | Senior Lecturer in Statistics, 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): | Senior Lecturer, 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 |
University of Bristol
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