Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models

16 July 2023

Papers citing "Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models"

21 / 21 papers shown

Title
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning T. Westenbroek F. Castañeda Ayush Agrawal S. Shankar Sastry Koushil Sreenath 69 25 0 13 Aug 2022
Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads Jeremy Dao Kevin R. Green Helei Duan Alan Fern J. Hurst 40 31 0 09 Apr 2022
Do Differentiable Simulators Give Better Policy Gradients? H.J. Terry Suh Max Simchowitz Kai Zhang Russ Tedrake 58 100 0 02 Feb 2022
Learning robust perceptive locomotion for quadrupedal robots in the wild Takahiro Miki Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 123 709 0 20 Jan 2022
Gradients are Not All You Need Luke Metz C. Freeman S. Schoenholz Tal Kachman 71 93 0 10 Nov 2021
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots Zhongyu Li Xuxin Cheng Xue Bin Peng Pieter Abbeel Sergey Levine Glen Berseth Koushil Sreenath 74 219 0 26 Mar 2021
Learning Quadrupedal Locomotion over Challenging Terrain Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 125 1,170 0 21 Oct 2020
Learning Stable Deep Dynamics Models Gaurav Manek J. Zico Kolter 54 192 0 17 Jan 2020
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 95 951 0 19 Jun 2019
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos Paavo Parmas C. Rasmussen Jan Peters Kenji Doya 57 88 0 04 Feb 2019
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 100 438 0 26 Dec 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion Jacob Buckman Danijar Hafner George Tucker E. Brevdo Honglak Lee 88 332 0 04 Jul 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 221 1,277 0 30 May 2018
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots Jie Tan Tingnan Zhang Erwin Coumans Atil Iscen Yunfei Bai Danijar Hafner Steven Bohez Vincent Vanhoucke 91 803 0 27 Apr 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 117 548 0 30 Mar 2018
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 91 973 0 08 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 478 19,019 0 20 Jul 2017
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 89 1,013 0 02 Mar 2016
Learning Continuous Control Policies by Stochastic Value Gradients N. Heess Greg Wayne David Silver Timothy Lillicrap Yuval Tassa Tom Erez 95 560 0 30 Oct 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,237 0 09 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,767 0 19 Feb 2015