A Tour of Reinforcement Learning: The View from Continuous Control

25 June 2018

Benjamin Recht

Papers citing "A Tour of Reinforcement Learning: The View from Continuous Control"

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Title
Learning Minimum-Energy Controls from Heterogeneous Data Giacomo Baggio Fabio Pasqualetti 11 12 0 18 Jun 2020
Machine learning and control engineering: The model-free case M. Fliess Cédric Join 23 13 0 10 Jun 2020
Machine Learning and Control Theory A. Bensoussan Yiqun Li Dinh Phan Cao Nguyen M. Tran S. Yam Xiang Zhou AI4CE 32 12 0 10 Jun 2020
Formal Policy Synthesis for Continuous-Space Systems via Reinforcement Learning Milad Kazemi Sadegh Soudjani 30 29 0 04 May 2020
Data-based Receding Horizon Control of Linear Network Systems Ahmed Allibhoy Jorge Cortés 7 53 0 22 Mar 2020
Visual Navigation Among Humans with Optimal Control as a Supervisor Varun Tolani Somil Bansal Aleksandra Faust Claire Tomlin 17 39 0 20 Mar 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 29 327 0 22 Feb 2020
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem Hesameddin Mohammadi A. Zare Mahdi Soltanolkotabi M. Jovanović 32 122 0 26 Dec 2019
On the Robustness of Data-Driven Controllers for Linear Systems A. Rajasekhar Abed AlRahman Al Makdah Vaibhav Katewa Fabio Pasqualetti 29 6 0 21 Dec 2019
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator Yuwei Luo Zhuoran Yang Zhaoran Wang Mladen Kolar 26 9 0 14 Dec 2019
Convergent Policy Optimization for Safe Reinforcement Learning Ming Yu Zhuoran Yang Mladen Kolar Zhaoran Wang 16 91 0 26 Oct 2019
$Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence$ Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence Kaipeng Zhang Bin Hu Tamer Basar 24 119 0 21 Oct 2019
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods René Carmona Mathieu Laurière Zongjun Tan 43 61 0 09 Oct 2019
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost Zhuoran Yang Yongxin Chen Mingyi Hong Zhaoran Wang 32 39 0 14 Jul 2019
From self-tuning regulators to reinforcement learning and back again Nikolai Matni Alexandre Proutiere Anders Rantzer Stephen Tu 27 88 0 27 Jun 2019
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization David H. Brookes A. Busia Clara Fannjiang Kevin Patrick Murphy Jennifer Listgarten 25 22 0 24 May 2019
Combining Optimal Control and Learning for Visual Navigation in Novel Environments Somil Bansal Varun Tolani Saurabh Gupta Jitendra Malik Claire Tomlin 13 162 0 06 Mar 2019
A Fundamental Performance Limitation for Adversarial Classification Abed AlRahman Al Makdah Vaibhav Katewa Fabio Pasqualetti AAML 33 8 0 04 Mar 2019
On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator Qi Cai Mingyi Hong Yongxin Chen Zhaoran Wang 27 34 0 11 Jan 2019
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint Stephen Tu Benjamin Recht OffRL 11 150 0 09 Dec 2018