Peter+Dayan

a British computer and neuro scienctist, professor of [|computational neuroscience] at [|University College London], and director of UCL's //Gatsby Computational Neuroscience Unit//. He obtained a B.Sc. in mathematics from [|University of Cambridge] and a Ph.D. in artificial intelligence from University of Edinburgh, which focused on [|Bayesian network] and neural network models of machine learning. He was postdoctoral researcher at the [|Salk Institute for Biological Studies] working with Terrence J. Sejnowski, and the University of Toronto with Geoffrey E. Hinton, and assistant professor at MIT before relocating to //Gatsby Computational Neuroscience Unit// at UCL in 1998.
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 * [[image:peterdayan160.jpg link="http://rumelhartprize.org/?page_id=202"]] ||~ || **Peter Dayan**,

Peter Dayan's work has been influential in several fields impinging on cognitive science, including machine learning, [|mathematical statistics], [|neuroscience] and psychology - he has articulated a view in which neural computation is akin to a [|Bayesian inference] process. His research centers around self-supervised learning, reinforcement learning, temporal difference learning and [|population coding]. He researched and published on [|Q-learning] with Chris Watkins, and provided a proof of convergence of TD(λ) for arbitrary λ. Along with Nicol N. Schraudolph and Terrence J. Sejnowski, he published on temporal difference learning to evaluate positions in Go .|| toc =Selected Publications=
 * Peter Dayan ||~ ||^ ||

1990 ...

 * Peter Dayan (**1990**). //Navigating Through Temporal Difference//. [|NIPS 1990], [|pdf]
 * Chris Watkins, Peter Dayan (**1992**). //[|Q-learning]//. [|Machine Learning], Vol. 8, No. 2
 * Peter Dayan (**1992**). //[|The convergence of TD (λ) for general λ]//. [|Machine Learning], Vol. 8, No. 3
 * Peter Dayan, Geoffrey E. Hinton (**1992**). //Feudal reinforcement learning//. [|NIPS 1992], [|pdf]
 * Peter Dayan (**1993**). //Improving generalisation for temporal difference learning: The successor representation//. [|Neural Computation], Vol. 5, [|pdf]
 * Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski (**1994**). //[|Temporal Difference Learning of Position Evaluation in the Game of Go]//. [|Advances in Neural Information Processing Systems 6]
 * Peter Dayan, Terrence J. Sejnowski (**1994**). //TD(λ) converges with Probability 1//. [|Machine Learning], Vol. 14, No. 1, [|pdf]
 * Peter Dayan, Terrence J. Sejnowski (**1996**). //[|Exploration Bonuses and Dual Control]//. [|Machine Learning], Vol. 25, No. 1, [|pdf]
 * Peter Dayan (**1999**). //Recurrent Sampling Models for the Helmholtz Machine//. [|Neural Computation], Vol. 11, No. 3, [|pdf]

2000 ...

 * Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski (**2001**). //[|Learning to Evaluate Go Positions via Temporal Difference Methods]//. in  Norio Baba, Lakhmi C. Jain (eds.) (**2001**). //[|Computational Intelligence in Games, Studies in Fuzziness and Soft Computing]//. [|Physica-Verlag]
 * Peter Dayan, Laurence F. Abbott (**2001, 2005**). //[|Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems]//. [|MIT Press]
 * Peter Dayan (**2008**). //Load and Attentional Bayes//. [|NIPS 2008], [|pdf]

2010 ...
=External Links=
 * Peter Dayan (**2012**). //How to set the switches on this thing//. [|Current Opinion in Neurobiology], Vol. 22, [|pdf]
 * Arthur Guez, David Silver, Peter Dayan (**2012**). //Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search//. [|NIPS 2012], [|pdf]
 * Arthur Guez, David Silver, Peter Dayan (**2013**). //Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search//. [|Journal of Artificial Intelligence Research], Vol. 48, [|pdf]
 * Arthur Guez, David Silver, Peter Dayan (**2014**). //Better Optimism By Bayes: Adaptive Planning with Rich Models//. [|arXiv:1402.1958v1]
 * Arthur Guez, Nicolas Heess, David Silver, Peter Dayan (**2014**). //Bayes-Adaptive Simulation-based Search with Value Function Approximation//. [|NIPS 2014], [|pdf]
 * [|Gatsby Computational Neuroscience Unit | Professor Peter Dayan]
 * [|Research Biography of Peter Dayan] | [|The David E. Rumelhart Prize 2012]
 * [|Peter Dayan from Wikipedia]

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