<h1>Wierman, Adam</h1> <h2>Monograph from <a href="https://authors.library.caltech.edu">CaltechAUTHORS</a></h2> <ul> <li>Zhou, Zhaoyi and Chen, Zaiwei, el al. (2023) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230316-204018535">Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games</a></li> <li>Chen, Zaiwei and Zhang, Kaiqing, el al. (2023) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230316-204015123">A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games</a></li> <li>Zhang, Yizhou and Qu, Guannan, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230316-204011712">Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning</a></li> <li>Sun, Bo and Yang, Lin, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230316-204008302">The Online Knapsack Problem with Departures</a></li> <li>Christianson, Nicolas and Handina, Tinashe, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20230316-204004873">Chasing Convex Bodies and Functions with Black-Box Advice</a></li> <li>Lale, Sahin and Shi, Yuanyuan, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220714-212504090">KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems</a>; <a href="https://doi.org/10.48550/arXiv.arXiv.2206.01704">10.48550/arXiv.arXiv.2206.01704</a></li> <li>Hu, Yang and Wierman, Adam, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220304-172355155">On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory</a>; <a href="https://doi.org/10.48550/arXiv.arXiv.2202.07187">10.48550/arXiv.arXiv.2202.07187</a></li> <li>Yu, Chenkai and Ma, Hongyao, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220304-172351810">Price Cycles in Ridesharing Platforms</a>; <a href="https://doi.org/10.48550/arXiv.arXiv.2202.07086">10.48550/arXiv.arXiv.2202.07086</a></li> <li>Rutten, Daan and Christianson, Nicolas, el al. (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220304-172345101">Online Optimization with Untrusted Predictions</a>; <a href="https://doi.org/10.48550/arXiv.2202.03519">10.48550/arXiv.2202.03519</a></li> <li>Shi, Yuanyuan and Qu, Guannan, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220304-172338061">Stability Constrained Reinforcement Learning for Real-Time Voltage Control</a>; <a href="https://doi.org/10.48550/arXiv.2109.14854">10.48550/arXiv.2109.14854</a></li> <li>Sun, Bo and Lee, Russell, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20220304-172334654">Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems</a>; <a href="https://doi.org/10.48550/arXiv.2109.01556">10.48550/arXiv.2109.01556</a></li> <li>Lin, Yiheng and Hu, Yang, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210716-225843457">Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems</a>; <a href="https://doi.org/10.48550/arXiv.2106.10497">10.48550/arXiv.2106.10497</a></li> <li>Tseng, Shih-Hao and Han, SooJean, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210831-203907839">Trading Throughput for Freshness: Freshness-Aware Traffic Engineering and In-Network Freshness Control</a>; <a href="https://doi.org/10.48550/arXiv.2106.02156">10.48550/arXiv.2106.02156</a></li> <li>Zocca, Alessandro and Liang, Chen, el al. (2021) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20210716-225840003">A Spectral Representation of Power Systems with Applications to Adaptive Grid Partitioning and Cascading Failure Localization</a>; <a href="https://doi.org/10.48550/arXiv.2105.05234">10.48550/arXiv.2105.05234</a></li> <li>Yu, Chenkai and Shi, Guanya, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201110-082106076">Competitive Control with Delayed Imperfect Information</a>; <a href="https://doi.org/10.48550/arXiv.2010.11637">10.48550/arXiv.2010.11637</a></li> <li>Li, Tongxin and Low, Steven H., el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200707-095020631">Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination</a>; <a href="https://doi.org/10.48550/arXiv.2006.13814">10.48550/arXiv.2006.13814</a></li> <li>Yu, Chenkai and Shi, Guanya, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200707-094715120">The Power of Predictions in Online Control</a>; <a href="https://doi.org/10.48550/arXiv.2006.07569">10.48550/arXiv.2006.07569</a></li> <li>Qu, Guannan and Yu, Chenkai, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200707-095652399">Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach</a>; <a href="https://doi.org/10.48550/arXiv.2006.07476">10.48550/arXiv.2006.07476</a></li> <li>Qu, Guannan and Lin, Yiheng, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200707-095349805">Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward</a>; <a href="https://doi.org/10.48550/arXiv.2006.06626">10.48550/arXiv.2006.06626</a></li> <li>Lin, Yiheng and Qu, Guannan, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201014-143549786">Distributed Reinforcement Learning in Multi-Agent Networked Systems</a>; <a href="https://doi.org/10.48550/arXiv.2006.06555">10.48550/arXiv.2006.06555</a></li> <li>Guo, Linqi and Liang, Chen, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200707-100438853">Localization & Mitigation of Cascading Failures in Power Systems, Part III: Real-time Mitigation</a>; <a href="https://doi.org/10.48550/arXiv.2005.11319">10.48550/arXiv.2005.11319</a></li> <li>Su, Yu and Ren, Xiaoqi, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200526-151456655">Communication-Aware Scheduling of Precedence-Constrained Tasks on Related Machines</a>; <a href="https://doi.org/10.48550/arXiv.2004.14639">10.48550/arXiv.2004.14639</a></li> <li>Shi, Guanya and Lin, Yiheng, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200214-105606928">Online Optimization with Memory and Competitive Control</a>; <a href="https://doi.org/10.48550/arXiv.2002.05318">10.48550/arXiv.2002.05318</a></li> <li>Qu, Guannan and Wierman, Adam (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200214-105555380">Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning</a>; <a href="https://doi.org/10.48550/arXiv.2002.00260">10.48550/arXiv.2002.00260</a></li> <li>Qu, Guannan and Wierman, Adam, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200214-105551932">Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems</a>; <a href="https://doi.org/10.48550/arXiv.1912.02906">10.48550/arXiv.1912.02906</a></li> <li>Chen, Yue and Mei, Shengwei, el al. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190626-144159570">Buy or Sell? Energy Sharing of Prosumers on Constrained Networks</a>; <a href="https://doi.org/10.48550/arXiv.1906.09891">10.48550/arXiv.1906.09891</a></li> <li>Chen, Niangjun and Goel, Gautam, el al. (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190627-130339504">Smoothed Online Convex Optimization in High Dimensions via Online Balanced Descent</a>; <a href="https://doi.org/10.48550/arXiv.1803.10366">10.48550/arXiv.1803.10366</a></li> <li>Bose, Subhonmesh and Bodine-Baron, Elizabeth, el al. (2013) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20150121-074956983">The Cost of an Epidemic over a Complex Network: A Random Matrix Approach</a>; <a href="https://doi.org/10.48550/arXiv.1309.2236">10.48550/arXiv.1309.2236</a></li> </ul>