Offline Reinforcement Learning for Visual Navigation

16 December 2022

Papers citing "Offline Reinforcement Learning for Visual Navigation"

31 / 31 papers shown

Title
Visual Semantic Navigation with Real Robots Carlos Gutiérrez-Álvarez Pablo Ríos-Navarro Rafael Flor-Rodríguez Francisco Javier Acevedo-Rodríguez Roberto J. López-Sastre 77 2 0 10 Jan 2025
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes Alex X. Lee Coline Devin Yuxiang Zhou Thomas Lampe Konstantinos Bousmalis ... Stefano Saliceti Federico Casarini Martin Riedmiller R. Hadsell F. Nori OffRL 58 99 0 12 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 254 874 0 12 Oct 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 84 1,608 0 02 Jun 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 84 275 0 16 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn Sergey Levine SSL OffRL 56 146 0 15 Apr 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 52 73 0 12 Apr 2021
Offline Reinforcement Learning with Fisher Divergence Critic Regularization Ilya Kostrikov Jonathan Tompson Rob Fergus Ofir Nachum OffRL 119 302 0 14 Mar 2021
ViNG: Learning Open-World Navigation with Visual Goals Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 46 92 0 17 Dec 2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning Avi Singh Albert Yu Jonathan Yang Jesse Zhang Aviral Kumar Sergey Levine SSL OffRL OnRL 50 103 0 27 Oct 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets Ashvin Nair Abhishek Gupta Murtaza Dalal Sergey Levine OffRL OnRL 77 601 0 16 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 104 1,780 0 08 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 484 1,994 0 04 May 2020
Learning to Explore using Active Neural SLAM Devendra Singh Chaplot Dhiraj Gandhi Saurabh Gupta Abhinav Gupta Ruslan Salakhutdinov 47 510 0 10 Apr 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement Benjamin Eysenbach Xinyang Geng Sergey Levine Ruslan Salakhutdinov OffRL 37 87 0 25 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 462 4,662 0 23 Jan 2020
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 101 218 0 19 Nov 2019
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data Ajay Mandlekar Fabio Ramos Byron Boots Silvio Savarese Li Fei-Fei Animesh Garg Dieter Fox OffRL 61 117 0 13 Nov 2019
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames Erik Wijmans Abhishek Kadian Ari S. Morcos Stefan Lee Irfan Essa Devi Parikh Manolis Savva Dhruv Batra 78 471 0 01 Nov 2019
gradSLAM: Automagically differentiable SLAM Krishna Murthy Jatavallabhula Soroush Saryazdi Ganesh Iyer Liam Paull 45 57 0 23 Oct 2019
Habitat: A Platform for Embodied AI Research Manolis Savva Abhishek Kadian Oleksandr Maksymets Yili Zhao Erik Wijmans ... Jia-Wei Liu V. Koltun Jitendra Malik Devi Parikh Dhruv Batra LM&Ro 99 1,390 0 02 Apr 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 164 1,586 0 07 Dec 2018
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation G. Kahn Adam R. Villaflor Pieter Abbeel Sergey Levine SSL OffRL 54 19 0 16 Oct 2018
On Evaluation of Embodied Navigation Agents Peter Anderson Angel X. Chang Devendra Singh Chaplot Alexey Dosovitskiy Saurabh Gupta ... Jana Kosecka Jitendra Malik Roozbeh Mottaghi Manolis Savva Amir Zamir 100 791 0 18 Jul 2018
Semi-parametric Topological Memory for Navigation Nikolay Savinov Alexey Dosovitskiy V. Koltun 56 379 0 01 Mar 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 153 1,584 0 05 Feb 2018
AI2-THOR: An Interactive 3D Environment for Visual AI Eric Kolve Roozbeh Mottaghi Winson Han Eli VanderBilt Luca Weihs ... Daniel Gordon Yuke Zhu Aniruddha Kembhavi Abhinav Gupta Ali Farhadi LM&Ro 42 1,091 0 14 Dec 2017
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning Aleksandra Faust Oscar Ramirez Marek Fiser Kenneth Oslund Anthony G. Francis James Davidson Lydia Tapia 60 289 0 11 Oct 2017
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 110 1,066 0 06 Oct 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 226 2,307 0 05 Jul 2017
SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks J. McCormac Ankur Handa Andrew J. Davison Stefan Leutenegger 3DPC 49 553 0 16 Sep 2016