Monte Carlo Matrix Inversion and Reinforcement Learning. - Andrew G. Barto; Michael O. Duff (NIPS, 1993)

Reinforcement Learning Methods for Continuous-Time Markov Decision Problems. - Steven J. Bradtke; Michael O. Duff (NIPS, 1994)

Q-Learning for Bandit Problems. - Michael O. Duff (ICML, 1995)

Local Bandit Approximation for Optimal Learning Problems. - Michael O. Duff; Andrew G. Barto (NIPS, 1996)

Monte-Carlo Algorithms for the Improvement of Finite-State Stochastic Controllers: Application to Bayes-Adaptive Markov Decision Processes. - Michael O. Duff (AISTATS, 2001)

Design for an Optimal Probe. - Michael O. Duff (ICML, 2003)

Diffusion Approximation for Bayesian Markov Chains. - Michael O. Duff (ICML, 2003)