 | 2003 |
|---|
| 6 |       | Michael O. Duff:
Design for an Optimal Probe.
ICML 2003: 131-138 |
| 5 | | Michael O. Duff:
Diffusion Approximation for Bayesian Markov Chains.
ICML 2003: 139-146 |
| 1996 |
|---|
| 4 |  | Michael O. Duff,
Andrew G. Barto:
Local Bandit Approximation for Optimal Learning Problems.
NIPS 1996: 1019-1025 |
| 1995 |
|---|
| 3 | | Michael O. Duff:
Q-Learning for Bandit Problems.
ICML 1995: 209-217 |
| 1994 |
|---|
| 2 | | Steven J. Bradtke,
Michael O. Duff:
Reinforcement Learning Methods for Continuous-Time Markov Decision Problems.
NIPS 1994: 393-400 |
| 1993 |
|---|
| 1 | | Andrew G. Barto,
Michael O. Duff:
Monte Carlo Matrix Inversion and Reinforcement Learning.
NIPS 1993: 687-694 |
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