How are policy gradient methods affected by the limits of control?

14 June 2022

Papers citing "How are policy gradient methods affected by the limits of control?"

8 / 8 papers shown

Title
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms Xiangyuan Zhang Weichao Mao S. Mowlavi M. Benosman Tamer Basar OffRL AI4CE 11 2 0 30 Nov 2023
On the Hardness of Learning to Stabilize Linear Systems Xiong Zeng Zexiang Liu Zhe Du N. Ozay Mario Sznaier 21 3 0 18 Nov 2023
Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach Leonardo F. Toso Han Wang James Anderson 16 2 0 19 Sep 2023
Meta-Learning Operators to Optimality from Multi-Task Non-IID Data Thomas T. Zhang Leonardo F. Toso James Anderson Nikolai Matni 67 13 0 08 Aug 2023
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies Bin Hu K. Zhang Na Li M. Mesbahi Maryam Fazel Tamer Bacsar 66 27 0 10 Oct 2022
Statistical Learning Theory for Control: A Finite Sample Perspective Anastasios Tsiamis Ingvar M. Ziemann Nikolai Matni George J. Pappas 13 73 0 12 Sep 2022
Stabilizing Dynamical Systems via Policy Gradient Methods Juan C. Perdomo Jack Umenberger Max Simchowitz 19 44 0 13 Oct 2021
On the Sample Complexity of Stability Constrained Imitation Learning Stephen Tu Alexander Robey Tingnan Zhang Nikolai Matni 41 38 0 18 Feb 2021