Optimal Exploration for Model-Based RL in Nonlinear Systems

15 June 2023

Papers citing "Optimal Exploration for Model-Based RL in Nonlinear Systems"

26 / 26 papers shown

Title
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Shenghong He OffRL 479 0 0 10 Feb 2025
Active learning of neural population dynamics using two-photon holographic optogenetics Andrew Wagenmaker Lu Mi Marton Rozsa Matthew S. Bull Karel Svoboda Kayvon Daie Matthew D. Golub Kevin Jamieson 238 0 0 03 Dec 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 119 0 0 03 Jun 2024
Leveraging Offline Data in Online Reinforcement Learning Andrew Wagenmaker Aldo Pacchiano OffRL OnRL 89 40 0 09 Nov 2022
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning Zixiang Chen C. J. Li An Yuan Quanquan Gu Michael I. Jordan OffRL 147 27 0 30 Sep 2022
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds Michael O'Connell Guanya Shi Xichen Shi Kamyar Azizzadenesheli Anima Anandkumar Yisong Yue Soon-Jo Chung 145 181 0 13 May 2022
The Statistical Complexity of Interactive Decision Making Dylan J. Foster Sham Kakade Jian Qian Alexander Rakhlin 377 183 0 27 Dec 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 66 632 0 13 Aug 2021
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration Yuda Song Wen Sun 107 21 0 15 Jul 2021
Bilinear Classes: A Structural Framework for Provable Generalization in RL S. Du Sham Kakade Jason D. Lee Shachar Lovett G. Mahajan Wen Sun Ruosong Wang OffRL 186 191 0 19 Mar 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 72 73 0 07 Mar 2021
Task-Optimal Exploration in Linear Dynamical Systems Andrew Wagenmaker Max Simchowitz Kevin Jamieson 77 18 0 10 Feb 2021
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes Dongruo Zhou Quanquan Gu Csaba Szepesvári 86 209 0 15 Dec 2020
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions Guanya Shi Wolfgang Hönig Xichen Shi Yisong Yue Soon-Jo Chung 113 71 0 10 Dec 2020
Regret Bounds for Adaptive Nonlinear Control Nicholas M. Boffi Stephen Tu Jean-Jacques E. Slotine 84 48 0 26 Nov 2020
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 79 119 0 22 Jun 2020
Active Learning for Nonlinear System Identification with Guarantees Horia Mania Michael I. Jordan Benjamin Recht 93 104 0 18 Jun 2020
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems Yashwanth Kumar Nakka Anqi Liu Guanya Shi Anima Anandkumar Yisong Yue Soon-Jo Chung 107 49 0 09 May 2020
Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal Alekh Agarwal Sham Kakade Lin F. Yang OffRL 91 175 0 10 Jun 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 153 870 0 01 Mar 2019
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds Andrea Zanette Emma Brunskill OffRL 126 276 0 01 Jan 2019
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 91 304 0 06 Dec 2018
Stochastic Gradient Descent Learns State Equations with Nonlinear Activations Samet Oymak 63 43 0 09 Sep 2018
On the Sample Complexity of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 81 580 0 04 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 583 19,315 0 20 Jul 2017
Input Design for System Identification via Convex Relaxation I. Manchester 90 64 0 28 Sep 2010