Title
Object Manipulation via Visual Target LocalizationEuropean Conference on Computer Vision (ECCV), 2022 Kiana Ehsani Ali Farhadi Aniruddha Kembhavi Roozbeh Mottaghi LM&Ro 181 9 0 15 Mar 2022
RB2: Robotic Manipulation Benchmarking with a Twist Sudeep Dasari Jianren Wang Joyce Hong Shikhar Bahl Yixin Lin ... David Held Lerrel Pinto Deepak Pathak Vikash Kumar Abhi Gupta 189 33 0 15 Mar 2022
Masked Visual Pre-training for Motor Control Tete Xiao Ilija Radosavovic Trevor Darrell Jitendra Malik SSL 257 283 0 11 Mar 2022
Temporal Difference Learning for Model Predictive ControlInternational Conference on Machine Learning (ICML), 2022 Nicklas Hansen Xiaolong Wang H. Su PINN MU 324 324 0 09 Mar 2022
Transfer Dynamics in Emergent Evolutionary CurriculaIEEE Transactions on Games (IEEE Trans. Games), 2022 Aaron Dharna Amy K. Hoover Julian Togelius Lisa Soros 201 6 0 03 Mar 2022
Hierarchical Reinforcement Learning with AI Planning Models Junkyu Lee Michael Katz Don Joven Agravante Miao Liu Geraud Nangue Tasse Tim Klinger Shirin Sohrabi 190 3 0 01 Mar 2022
Learning Causal Overhypotheses through Exploration in Children and Computational ModelsCLEaR (CLEaR), 2022 Eliza Kosoy Adrian Liu Jasmine Collins David M. Chan Jessica B. Hamrick Nan Rosemary Ke Sandy H Huang Bryanna Kaufmann John F. Canny Alison Gopnik CML 166 11 0 21 Feb 2022
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense TrafficJournal of the Franklin Institute (JFI), 2022 Yuqi Liu Qichao Zhang Dongbin Zhao 156 25 0 19 Feb 2022
Contextualize Me -- The Case for Context in Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert Aditya Mohan Sebastian Dohler André Biedenkapp Bodo Rosenhahn Katharina Eggensperger Marius Lindauer OffRL 306 45 0 09 Feb 2022
How to Leverage Unlabeled Data in Offline Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022 Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Chelsea Finn Sergey Levine OffRL 451 75 0 03 Feb 2022
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 506 100 0 28 Jan 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao Yizhou Jiang F. Chen 154 8 0 28 Jan 2022
In Defense of the Unitary Scalarization for Deep Multi-Task LearningNeural Information Processing Systems (NeurIPS), 2022 Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 250 85 0 11 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open ProblemsJournal of Artificial Intelligence Research (JAIR), 2022 Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Katharina Eggensperger Marius Lindauer AI4CE 293 123 0 11 Jan 2022
STIR $^2$ : Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasksAdaptive Agents and Multi-Agent Systems (AAMAS), 2022 Jesús Bujalance Martín Fabien Moutarde OffRL 163 2 0 11 Jan 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic EnvironmentsFrontiers in Neurorobotics (FN), 2021 A. Iyer Karan Grewal Akash Velu Lucas O. Souza Jérémy Forest Subutai Ahmad AI4CE 262 53 0 31 Dec 2021
RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment Mingxin Yu Lin Shao Zhehuan Chen Tianhao Wu Qingnan Fan Kaichun Mo Hao Dong 170 19 0 19 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 183 16 0 08 Dec 2021
CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation TasksIEEE Robotics and Automation Letters (RA-L), 2021 Oier Mees Lukás Hermann Erick Rosete-Beas Wolfram Burgard LM&Ro 465 395 0 06 Dec 2021
A Survey of Robot Manipulation in Contact Markku Suomalainen Y. Karayiannidis Ville Kyrki 301 140 0 03 Dec 2021
Meta Arcade: A Configurable Environment Suite for Meta-Learning Edward W. Staley C. Ashcraft Ben Stoler Jared Markowitz Gautam K. Vallabha Christopher R. Ratto Kapil D. Katyal 115 5 0 01 Dec 2021
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka Tim Welschehold Joschka Boedecker Wolfram Burgard OffRL 151 13 0 24 Nov 2021
Visual Goal-Directed Meta-Learning with Contextual Planning Networks Corban G. Rivera D. Handelman 152 0 0 18 Nov 2021
Assisted Robust Reward Design Jerry Zhi-Yang He Anca Dragan 120 10 0 18 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee Laura M. Smith Anca Dragan Pieter Abbeel OffRL 261 123 0 04 Nov 2021
Procedural Generalization by Planning with Self-Supervised World ModelsInternational Conference on Learning Representations (ICLR), 2021 Ankesh Anand Jacob Walker Yazhe Li Eszter Vértes Julian Schrittwieser Sherjil Ozair T. Weber Jessica B. Hamrick 161 34 0 02 Nov 2021
Context Meta-Reinforcement Learning via NeuromodulationNeural Networks (NN), 2021 Eseoghene Ben-Iwhiwhu Jeffery Dick Nicholas A. Ketz Praveen K. Pilly Andrea Soltoggio OffRL 445 14 0 30 Oct 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action PrimitivesNeural Information Processing Systems (NeurIPS), 2021 Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 322 110 0 28 Oct 2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence Nicholas Roy Ingmar Posner Timothy D. Barfoot Philippe Beaudoin Yoshua Bengio ... S. Schaal Gaurav Sukhatme D. Thérien Marc Toussaint M. van de Panne 290 79 0 28 Oct 2021
URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin Denis Yarats Hao Liu Kimin Lee Albert Zhan Kevin Lu Catherine Cang Lerrel Pinto Pieter Abbeel SSL OffRL 223 159 0 28 Oct 2021
Millimeter Wave Wireless Assisted Robot Navigation with Link State ClassificationIEEE Open Journal of the Communications Society (IEEE Open J. Commun. Soc.), 2021 Mingsheng Yin A. Veldanda Amee Trivedi Jeff Zhang Kai Pfeiffer Yaqi Hu S. Garg E. Erkip Ludovic Righetti S. Rangan 154 24 0 27 Oct 2021
Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu Xingchao Liu Xiaojie Jin Peter Stone Qiang Liu 349 421 0 26 Oct 2021
Towards More Generalizable One-shot Visual Imitation Learning Zhao Mandi Fangchen Liu Kimin Lee Pieter Abbeel 239 70 0 26 Oct 2021
Multitask Adaptation by Retrospective Exploration with Learned World Models Artem Zholus Aleksandr I. Panov CLL 93 0 0 25 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching TasksInternational Conference on Learning Representations (ICLR), 2021 Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 187 18 0 22 Oct 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents Sam Powers Eliot Xing Eric Kolve Roozbeh Mottaghi Abhinav Gupta OffRL 279 44 0 19 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 254 153 0 18 Oct 2021
OPEn: An Open-ended Physics Environment for Learning Without a Task Chuang Gan Abhishek Bhandwaldar Antonio Torralba J. Tenenbaum Phillip Isola LRM 345 4 0 13 Oct 2021
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time GuaranteesConference on Learning for Dynamics & Control (L4DC), 2021 Siliang Zeng Tianyi Chen Alfredo García Mingyi Hong 186 15 0 11 Oct 2021
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPsInternational Conference on Machine Learning (ICML), 2021 Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 336 138 0 11 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 114 15 0 10 Oct 2021
Offline Meta-Reinforcement Learning for Industrial InsertionIEEE International Conference on Robotics and Automation (ICRA), 2021 Tony Zhao Jianlan Luo Oleg O. Sushkov Rugile Pevceviciute N. Heess Jonathan Scholz S. Schaal Sergey Levine OffRL OnRL 249 87 0 08 Oct 2021
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL Benjamin Eysenbach Alexander Khazatsky Sergey Levine Ruslan Salakhutdinov OffRL 457 49 0 06 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Katharina Eggensperger Marius Lindauer OffRL 219 27 0 05 Oct 2021
Discovering Synergies for Robot Manipulation with Multi-Task Reinforcement Learning Zhanpeng He M. Ciocarlie 116 10 0 04 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset Wanyu Bian Yunmei Chen X. Ye Qingchao Zhang 185 30 0 02 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 329 57 0 01 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 452 103 0 27 Sep 2021
Half a Dozen Real-World Applications of Evolutionary Multitasking, and MoreIEEE Computational Intelligence Magazine (IEEE CIM), 2021 Abhishek Gupta Lei Zhou Yew-Soon Ong Zefeng Chen Yaqing Hou 175 87 0 27 Sep 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Quanyi Li Zhenghao Peng Lan Feng Qihang Zhang Zhenghai Xue Bolei Zhou 352 338 0 26 Sep 2021