Performance-Driven Controller Tuning via Derivative-Free Reinforcement
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Performance-Driven Controller Tuning via Derivative-Free Reinforcement Learning

11 September 2022

Sifa Zheng

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Papers citing "Performance-Driven Controller Tuning via Derivative-Free Reinforcement Learning"

15 / 15 papers shown

Title
Optimal Cost Design for Model Predictive Control Avik Jain Lawrence Chan Daniel S. Brown Anca Dragan 37 23 0 23 Apr 2021
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion Deepali Jain Atil Iscen Ken Caluwaerts 59 35 0 23 Nov 2020
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair Silvio Savarese Chelsea Finn 73 65 0 14 Jul 2020
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 71 58 0 12 May 2020
Objective Mismatch in Model-based Reinforcement Learning Nathan Lambert Brandon Amos Omry Yadan Roberto Calandra OffRL 44 97 0 11 Feb 2020
Learning Convex Optimization Control Policies Akshay Agrawal Shane T. Barratt Stephen P. Boyd Bartolomeo Stellato 67 70 0 19 Dec 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 71 36 0 29 Oct 2019
From self-tuning regulators to reinforcement learning and back again Nikolai Matni Alexandre Proutiere Anders Rantzer Stephen Tu 97 88 0 27 Jun 2019
Deep Neuroevolution of Recurrent and Discrete World Models S. Risi Kenneth O. Stanley OCL 123 53 0 28 Apr 2019
Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study Matthias Neumann-Brosig A. Marco D. Schwarzmann Sebastian Trimpe 120 93 0 15 Dec 2018
Differentiable MPC for End-to-end Planning and Control Brandon Amos I. D. Rodriguez Jacob Sacks Byron Boots J. Zico Kolter 83 376 0 31 Oct 2018
Goal-Driven Dynamics Learning via Bayesian Optimization Somil Bansal Roberto Calandra Ted Xiao Sergey Levine Claire Tomlin 58 114 0 27 Mar 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 115 1,541 0 10 Mar 2017
Automatic LQR Tuning Based on Gaussian Process Global Optimization A. Marco Philipp Hennig Jeannette Bohg S. Schaal Sebastian Trimpe 57 164 0 06 May 2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 129 3,438 0 08 Jun 2015