Differentiable MPC for End-to-end Planning and Control

31 October 2018

J. Zico Kolter

Papers citing "Differentiable MPC for End-to-end Planning and Control"

50 / 101 papers shown

Title
Control-oriented meta-learning Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 35 24 0 14 Apr 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control Shubhankar Agarwal Sandeep Chinchali AAML 40 4 0 13 Apr 2022
Towards Driving-Oriented Metric for Lane Detection Models Takami Sato Qi Alfred Chen 18 12 0 31 Mar 2022
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving Wei Xiao Tsun-Hsuan Wang Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 25 26 0 04 Mar 2022
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming Supriyo Ghosh L. Wynter Shiau Hong Lim D. Nguyen 34 0 0 27 Feb 2022
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators Manu Lahariya Craig Innes Chris Develder S. Ramamoorthy 8 5 0 25 Feb 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 32 7 0 25 Feb 2022
Myriad: a real-world testbed to bridge trajectory optimization and deep learning Nikolaus H. R. Howe Simon Dufort-Labbé Nitarshan Rajkumar Pierre-Luc Bacon 32 5 0 22 Feb 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs I. D. Rodriguez Aaron D. Ames Yisong Yue 33 51 0 05 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments Hengbo Ma Bike Zhang Masayoshi Tomizuka Koushil Sreenath 20 23 0 04 Jan 2022
Efficient differentiable quadratic programming layers: an ADMM approach A. Butler R. Kwon 40 18 0 14 Dec 2021
Learning soft interventions in complex equilibrium systems M. Besserve Bernhard Schölkopf 24 3 0 10 Dec 2021
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation Bernardo Aceituno-Cabezas Alberto Rodriguez Shubham Tulsiani Abhinav Gupta Mustafa Mukadam 24 4 0 09 Nov 2021
Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning Eivind Bøhn S. Gros Signe Moe T. Johansen 19 19 0 07 Nov 2021
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 22 0 0 15 Oct 2021
Neural Algorithmic Reasoners are Implicit Planners Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic OffRL 34 23 0 11 Oct 2021
Task-aware Privacy Preservation for Multi-dimensional Data Jiangnan Cheng A. Tang Sandeep P. Chinchali 31 7 0 05 Oct 2021
Data Sharing and Compression for Cooperative Networked Control Jiangnan Cheng Marco Pavone Sachin Katti Sandeep P. Chinchali A. Tang 34 10 0 29 Sep 2021
Imitation Learning of Stabilizing Policies for Nonlinear Systems Sebastian East 29 2 0 22 Sep 2021
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks Jieming Zhou Tong Zhang Pengfei Fang L. Petersson Mehrtash Harandi GNN 28 1 0 20 Sep 2021
Differentiable Moving Horizon Estimation for Robust Flight Control Bingheng Wang Zhengtian Ma Shupeng Lai Lin Zhao Tong-heng Lee 43 6 0 06 Aug 2021
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation Evgenii Nikishin Romina Abachi Rishabh Agarwal Pierre-Luc Bacon OffRL 52 34 0 06 Jun 2021
Neural Weighted A: Learning Graph Costs and Heuristics with Differentiable Anytime A Alberto Archetti Marco Cannici Matteo Matteucci 17 4 0 04 May 2021
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles Ionel Gog Sukrit Kalra Peter Schafhalter Matthew A. Wright Joseph E. Gonzalez Ion Stoica 35 69 0 16 Apr 2021
Learning Reactive and Predictive Differentiable Controllers for Switching Linear Dynamical Models Saumya Saxena A. LaGrassa Oliver Kroemer 23 4 0 26 Mar 2021
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning A. S. Morgan Daljeet Nandha Georgia Chalvatzaki Carlo DÉramo A. Dollar Jan Peters 45 43 0 25 Mar 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 37 70 0 07 Mar 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning Bangnig Zhang Raghunandan Rajan Luis Pineda Nathan Lambert André Biedenkapp Kurtland Chua Frank Hutter Roberto Calandra 26 100 0 26 Feb 2021
Learning for MPC with Stability & Safety Guarantees S. Gros Mario Zanon 37 29 0 14 Dec 2020
Neural Dynamic Policies for End-to-End Sensorimotor Learning Shikhar Bahl Mustafa Mukadam Abhinav Gupta Deepak Pathak 24 83 0 04 Dec 2020
Learning Certified Control using Contraction Metric Dawei Sun Susmit Jha Chuchu Fan 22 74 0 25 Nov 2020
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 18 34 0 27 Oct 2020
Implicit Graph Neural Networks Fangda Gu Heng Chang Wenwu Zhu Somayeh Sojoudi L. Ghaoui GNN 29 147 0 14 Sep 2020
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers Philipp Geiger C. Straehle AI4CE 33 26 0 17 Aug 2020
Learning from Sparse Demonstrations Wanxin Jin Todd D. Murphey Dana Kulić Neta Ezer Shaoshuai Mou 19 35 0 05 Aug 2020
Neural Ordinary Differential Equation Control of Dynamics on Graphs Thomas Asikis Lucas Böttcher Nino Antulov-Fantulin 33 43 0 17 Jun 2020
Monotone operator equilibrium networks Ezra Winston J. Zico Kolter 32 130 0 15 Jun 2020
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image Danny Driess Jung-Su Ha Marc Toussaint LRM 13 100 0 09 Jun 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 44 86 0 16 May 2020
Modelling and Learning Dynamics for Robotic Food-Cutting Ioanna Mitsioni Y. Karayiannidis Danica Kragic 12 8 0 20 Mar 2020
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems Taisuke Kobayashis BDL DRL 16 17 0 04 Mar 2020
Learning Convex Optimization Control Policies Akshay Agrawal Shane T. Barratt Stephen P. Boyd Bartolomeo Stellato 30 66 0 19 Dec 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 33 35 0 29 Oct 2019
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 45 639 0 28 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 29 54 0 27 Sep 2019
Gradient-Aware Model-based Policy Search P. DÓro Alberto Maria Metelli Andrea Tirinzoni Matteo Papini Marcello Restelli 29 34 0 09 Sep 2019
Implicit Deep Learning L. Ghaoui Fangda Gu Bertrand Travacca Armin Askari Alicia Y. Tsai AI4CE 34 176 0 17 Aug 2019
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization Sumeet Singh Spencer M. Richards Vikas Sindhwani Jean-Jacques E. Slotine Marco Pavone 29 74 0 29 Jul 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 285 0 12 Jun 2019