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04/04/2023
Online Learning with Adversaries: A Differential Inclusion Analysis
We consider the measurement model Y = AX, where X and, hence, Y are rand...
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01/30/2023
SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search
Despite the popularity of policy gradient methods, they are known to suf...
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08/22/2022
Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking
Evolution Strategy (ES) is a powerful black-box optimization technique b...
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05/26/2022
Approximate Q-learning and SARSA(0) under the ε-greedy Policy: a Differential Inclusion Analysis
Q-learning and SARSA(0) with linear function approximation, under ϵ-gree...
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10/29/2021
Does Momentum Help? A Sample Complexity Analysis
Momentum methods are popularly used in accelerating stochastic iterative...
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10/27/2021
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning
In Multi-Agent Reinforcement Learning (MARL), multiple agents interact w...
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04/15/2021
Scale Invariant Solutions for Overdetermined Linear Systems with Applications to Reinforcement Learning
Overdetermined linear systems are common in reinforcement learning, e.g....
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09/17/2020
Online Algorithms for Estimating Change Rates of Web Pages
For providing quick and accurate search results, a search engine maintai...
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04/05/2020
Change Rate Estimation and Optimal Freshness in Web Page Crawling
For providing quick and accurate results, a search engine maintains a lo...
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11/20/2019
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound
Policy evaluation in reinforcement learning is often conducted using two...
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04/04/2017
