Enhancing Task Performance of Learned Simplified Models via
Reinforcement Learning

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Enhancing Task Performance of Learned Simplified Models via Reinforcement Learning

15 October 2023

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Papers citing "Enhancing Task Performance of Learned Simplified Models via Reinforcement Learning"

17 / 17 papers shown

Title
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Yufei Wang Zackory M. Erickson David Held 89 4 0 08 Feb 2024
Task-Driven Hybrid Model Reduction for Dexterous Manipulation Wanxin Jin Michael Posa 92 16 0 30 Nov 2022
Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda Taosha Fan Maurizio Monge S. Venkataraman Paloma Sodhi ... Austin S. Wang Stuart Anderson Jing Dong Brandon Amos Mustafa Mukadam 81 78 0 19 Jul 2022
Learning Linear Complementarity Systems Wanxin Jin Alp Aydinoglu Mathew Halm Michael Posa 69 16 0 25 Dec 2021
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger Arthur Allshire Mayank Mittal Varun Lodaya Viktor Makoviychuk Denys Makoviichuk Felix Widmaier Manuel Wüthrich Stefan Bauer Ankur Handa Animesh Garg 93 72 0 22 Aug 2021
Safe Pontryagin Differentiable Programming Wanxin Jin Shaoshuai Mou George J. Pappas 78 41 0 31 May 2021
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation Niklas Funk Charles B. Schaff Rishabh Madan Takuma Yoneda Julen Urain De Jesus ... Stefan Bauer S. Srinivasa Tapomayukh Bhattacharjee Matthew R. Walter Jan Peters 80 35 0 05 May 2021
Stabilization of Complementarity Systems via Contact-Aware Controllers Alp Aydinoglu Philip Sieg V. Preciado Michael Posa 64 35 0 03 Aug 2020
Objective Mismatch in Model-based Reinforcement Learning Nathan Lambert Brandon Amos Omry Yadan Roberto Calandra OffRL 44 97 0 11 Feb 2020
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework Wanxin Jin Zhaoran Wang Zhuoran Yang Shaoshuai Mou 78 79 0 30 Dec 2019
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 220 415 0 25 Sep 2019
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 110 392 0 03 Dec 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 180 5,204 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 314 8,396 0 04 Jan 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 526 19,237 0 20 Jul 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 323 13,272 0 09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 104 3,434 0 08 Jun 2015

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