C^2:Co-design of Robots via Concurrent Networks Coupling Online and Offline Reinforcement Learning

14 September 2022

Haojian Lu

Papers citing "C^2:Co-design of Robots via Concurrent Networks Coupling Online and Offline Reinforcement Learning"

27 / 27 papers shown

Title
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning Yi Zhao Rinu Boney Alexander Ilin Arno Solin Joni Pajarinen OffRL OnRL 61 40 0 25 Oct 2022
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning? Aviral Kumar Joey Hong Anika Singh Sergey Levine OffRL 99 81 0 12 Apr 2022
An End-to-End Differentiable Framework for Contact-Aware Robot Design Jie Xu Tao Chen Lara Zlokapa Michael Foshey Wojciech Matusik Shinjiro Sueda Pulkit Agrawal 74 91 0 15 Jul 2021
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design Jie Xu Andrew Spielberg Allan Zhao Daniela Rus Wojciech Matusik 81 39 0 13 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee Younggyo Seo Kimin Lee Pieter Abbeel Jinwoo Shin OffRL OnRL 60 189 0 01 Jul 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 122 819 0 12 Jun 2021
Online and Offline Reinforcement Learning by Planning with a Learned Model Julian Schrittwieser Thomas Hubert Amol Mandhane M. Barekatain Ioannis Antonoglou David Silver OffRL 56 116 0 13 Apr 2021
Offline Reinforcement Learning with Fisher Divergence Critic Regularization Ilya Kostrikov Jonathan Tompson Rob Fergus Ofir Nachum OffRL 125 305 0 14 Mar 2021
Task-Agnostic Morphology Evolution D. Hejna Pieter Abbeel Lerrel Pinto 53 27 0 25 Feb 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 270 433 0 16 Feb 2021
Embodied Intelligence via Learning and Evolution Agrim Gupta Silvio Savarese Surya Ganguli Li Fei-Fei AI4CE 86 246 0 03 Feb 2021
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning Tianjian Chen Zhanpeng He M. Ciocarlie 37 46 0 11 Aug 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets Ashvin Nair Abhishek Gupta Murtaza Dalal Sergey Levine OffRL OnRL 94 608 0 16 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 134 1,812 0 08 Jun 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 74 768 0 27 May 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 93 671 0 12 May 2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning Noah Y. Siegel Jost Tobias Springenberg Felix Berkenkamp A. Abdolmaleki Michael Neunert Thomas Lampe Roland Hafner Nicolas Heess Martin Riedmiller OffRL 58 283 0 19 Feb 2020
AlgaeDICE: Policy Gradient from Arbitrary Experience Ofir Nachum Bo Dai Ilya Kostrikov Yinlam Chow Lihong Li Dale Schuurmans OffRL 156 243 0 04 Dec 2019
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning K. Luck H. B. Amor Roberto Calandra AI4CE 33 53 0 15 Nov 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning Xue Bin Peng Aviral Kumar Grace Zhang Sergey Levine OffRL 131 558 0 01 Oct 2019
Neural Graph Evolution: Towards Efficient Automatic Robot Design Tingwu Wang Yuhao Zhou Sanja Fidler Jimmy Ba 54 63 0 12 Jun 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 118 1,056 0 03 Jun 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 223 1,608 0 07 Dec 2018
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics Yuanming Hu Jiancheng Liu Andrew Spielberg J. Tenenbaum William T. Freeman Jiajun Wu Daniela Rus Wojciech Matusik AI4CE 66 265 0 02 Oct 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 172 5,182 0 26 Feb 2018
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning Charles B. Schaff David Yunis Ayan Chakrabarti Matthew R. Walter 45 101 0 04 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 296 8,334 0 04 Jan 2018