Alekh Agarwal
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| title | conference | date |
|---|---|---|
| Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes | Emerging Challenges in Deep Learning (Simons Institute workshop, 2019) | 2019-08-05 |
Softmax tabular policy gradients with exact gradients asymptotically converge to a global optimum (softmax keeps nonzero action mass), but rates are weak… | ||
| Parallel Active Learning | Parallel and Distributed Algorithms for Inference and Optimization (Simons Institute, Oct. 21–24, 2013) | 2013-10-21 |
A parallel active learning pipeline combines a local active sifter that scans stored examples and subsamples informative points with a global passive updater… | ||
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