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Collins, Sean - Department of Mathematics, University of Bristol
Simplified policy iteration for skip-free Markov decision processes
The Bernoulli Feedback Queue with Balking: Stochastic Order Results and Equilibrium Joining
INDIVIDUAL Q-LEARNING IN NORMAL FORM GAMES DAVID S. LESLIE AND E. J. COLLINS
Finite-horizon dynamic optimisation when the terminal reward is a concave functional of the distribution of the
Finite-horizon variance penalised Markov decision processes E.J. Collins
A general technique for computing evolutionarily stable strategies based on errors in decision-making
The hidden cost of information in collective foraging
Generalised weakened fictitious play David S. Leslie 1
The Value of Information in Central-Place Research Report
Using Markov decision processes to optimise a non-linear functional of the final distribution,
Population-level reinforcement learning resulting in smooth best response dynamics
R: A self-learn tutorial 1 Introduction
The Annals of Applied Probability 2003, Vol. 13, No. 4, 12311251
