21 results on '"Alex Olshevsky"'
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2. One-Shot Averaging for Distributed TD (λ) Under Markov Sampling.
3. MDP Geometry, Normalization and Value Free Solvers.
4. Network-Based Epidemic Control Through Optimal Travel and Quarantine Management.
5. On Value Iteration Convergence in Connected MDPs.
6. Tree Search for Simultaneous Move Games via Equilibrium Approximation.
7. One-Shot Averaging for Distributed TD(λ) Under Markov Sampling.
8. Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens.
9. Convex SGD: Generalization Without Early Stopping.
10. Distributed TD(0) With Almost No Communication.
11. A Small Gain Analysis of Single Timescale Actor Critic.
12. On the Performance of Temporal Difference Learning With Neural Networks.
13. Convergence of Actor-Critic with Multi-Layer Neural Networks.
14. Nonasymptotic Concentration Rates in Cooperative Learning-Part I: Variational Non-Bayesian Social Learning.
15. Nonasymptotic Concentration Rates in Cooperative Learning - Part II: Inference on Compact Hypothesis Sets.
16. Asymptotic Network Independence and Step-Size for a Distributed Subgradient Method.
17. A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent.
18. Distributed TD(0) with Almost No Communication.
19. On the Performance of Temporal Difference Learning With Neural Networks.
20. A Small Gain Analysis of Single Timescale Actor Critic.
21. Closing the gap between SVRG and TD-SVRG with Gradient Splitting.
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