David S. Leslie
According to our database1, David S. Leslie authored at least 25 papers between 2005 and 2019.
Legend:Book In proceedings Article PhD thesis Other
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms.
Adaptive Sensor Placement for Continuous Spaces.
Adaptive Policies for Perimeter Surveillance Problems.
Bandit learning in concave N-person games.
Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models.
Mixed-Strategy Learning With Continuous Action Sets.
IEEE Trans. Automat. Contr., 2017
Robustness Properties in Fictitious-Play-Type Algorithms.
SIAM J. Control and Optimization, 2017
Combinatorial Multi-Armed Bandits with Filtered Feedback.
Stochastic fictitious play with continuous action sets.
J. Economic Theory, 2014
Game-theoretical control with continuous action sets.
Learning in Unknown Reward Games: Application to Sensor Networks.
Comput. J., 2014
Convergent Learning Algorithms for Unknown Reward Games.
SIAM J. Control and Optimization, 2013
Coarse resistance tree methods for stochastic stability analysis.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Optimistic Bayesian Sampling in Contextual-Bandit Problems.
J. Mach. Learn. Res., 2012
A unifying framework for iterative approximate best-response algorithms for distributed constraint optimization problems.
Knowledge Eng. Review, 2011
Adaptive Forgetting Factor Fictitious Play
Equilibrium selection in potential games with noisy rewards.
Proceedings of the 5th International Conference on NETwork Games, COntrol and OPtimization, 2011
Posterior Weighted Reinforcement Learning with State Uncertainty.
Neural Computation, 2010
Dynamic Opponent Modelling in Fictitious Play.
Comput. J., 2010
Convergence of Probability Collectives with Adaptive Choice of Temperature Parameters.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010
Sequentially updated Probability Collectives.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
On Similarities between Inference in Game Theory and Machine Learning.
J. Artif. Intell. Res., 2008
A general approach to heteroscedastic linear regression.
Statistics and Computing, 2007
Generalised weakened fictitious play.
Games and Economic Behavior, 2006
Individual Q-Learning in Normal Form Games.
SIAM J. Control and Optimization, 2005