David S. Leslie
David S. Leslie
Professor of Statistical Learning, Lancaster University
Verified email at - Homepage
Cited by
Cited by
A tutorial on bridge sampling
QF Gronau, A Sarafoglou, D Matzke, A Ly, U Boehm, M Marsman, ...
Journal of mathematical psychology 81, 80-97, 2017
Optimistic Bayesian sampling in contextual-bandit problems
BC May, N Korda, A Lee, DS Leslie
Journal of Machine Learning Research 13, 2069-2106, 2012
Generalised weakened fictitious play
DS Leslie, EJ Collins
Games and Economic Behavior 56 (2), 285-298, 2006
Individual Q-learning in normal form games
DS Leslie, EJ Collins
SIAM Journal on Control and Optimization 44 (2), 495-514, 2005
Bandit learning in concave N-person games
M Bravo, D Leslie, P Mertikopoulos
Advances in Neural Information Processing Systems 31, 5661-5671, 2018
Convergent multiple-timescales reinforcement learning algorithms in normal form games
DS Leslie, EJ Collins
The Annals of Applied Probability 13 (4), 1231-1251, 2003
Decentralized Q-learning in zero-sum Markov games
M Sayin, K Zhang, D Leslie, T Basar, A Ozdaglar
Advances in Neural Information Processing Systems 34, 18320-18334, 2021
Drosophila PINK1 and parkin loss-of-function mutants display a range of non-motor Parkinson’s disease phenotypes
JJL Julienne, H., Buhl, E., Leslie, D. S. & Hodge
Neurobiology of Disease, 2017
Time-varying decision boundaries: insights from optimality analysis
G Malhotra, DS Leslie, CJH Ludwig, R Bogacz
Psychonomic bulletin & review 25 (3), 971-996, 2018
BOSS: Bayesian Optimization over String Spaces
H Moss, DS Leslie, D Beck, J Gonzalez, P Rayson
Advances in neural information processing systems 33, 2020
A unifying framework for iterative approximate best-response algorithms for distributed constraint optimization problems
AC Chapman, A Rogers, NR Jennings, DS Leslie
Knowledge Engineering Review 26 (4), 411-444, 2011
Overcoming indecision by changing the decision boundary
G Malhotra, DS Leslie, CJH Ludwig, R Bogacz
Journal of Experimental Psychology: General, 2017
Convergent learning algorithms for unknown reward games
AC Chapman, DS Leslie, A Rogers, NR Jennings
SIAM Journal on Control and Optimization 51 (4), 3154-3180, 2013
A general approach to heteroscedastic linear regression
DS Leslie, R Kohn, DJ Nott
Statistics and Computing 17, 131-146, 2007
Stochastic fictitious play with continuous action sets
S Perkins, DS Leslie
Journal of Economic Theory 152, 179-213, 2014
Best-response dynamics in zero-sum stochastic games
DS Leslie, S Perkins, Z Xu
Journal of Economic Theory 189, 105095, 2020
Mixed-strategy learning with continuous action sets
S Perkins, P Mertikopoulos, DS Leslie
IEEE Transactions on Automatic Control 62 (1), 379-384, 2017
{REX}: A Development Platform and Online Learning Approach for Runtime Emergent Software Systems
B Porter, M Grieves, R Rodrigues Filho, D Leslie
12th {USENIX} Symposium on Operating Systems Design and Implementation …, 2016
On similarities between inference in game theory and machine learning
I Rezek, DS Leslie, S Reece, SJ Roberts, A Rogers, RK Dash, ...
Journal of Artificial Intelligence Research 33, 259-283, 2008
Context-dependent decision-making: a simple Bayesian model
K Lloyd, DS Leslie
Journal of The Royal Society Interface 10 (82), 20130069, 2013
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