Papers citing 'Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning'

Title
Replacing Rewards with Examples: Example-Based Policy Search via Recursive ClassificationNeural Information Processing Systems (NeurIPS), 2021 Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 322 52 0 23 Mar 2021
Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse OffspringIEEE Symposium on Artificial Life (AL), 2021 Adam Katona D. Franks James Alfred Walker 227 5 0 19 Mar 2021
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning Bernie Wang Si-ting Xu Kurt Keutzer Yang Gao Bichen Wu SSL OffRL 93 8 0 10 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement LearningConference on Robot Learning (CoRL), 2021 Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 187 120 0 10 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL ProblemsInternational Conference on Learning Representations (ICLR), 2021 Benjamin Eysenbach Sergey Levine OOD 213 218 0 10 Mar 2021
Discovering Diverse Multi-Agent Strategic Behavior via Reward RandomizationInternational Conference on Learning Representations (ICLR), 2021 Zhen-Yu Tang Chao Yu Boyuan Chen Huazhe Xu Xiaolong Wang Fei Fang S. Du Yu Wang Yi Wu 201 61 0 08 Mar 2021
Deep reinforcement learning in medical imaging: A literature review S. Kevin Zhou Hoang Ngan Le Khoa Luu Hien V Nguyen N. Ayache LM&MA OffRL MedIm 123 165 0 05 Mar 2021
Task-Agnostic Morphology EvolutionInternational Conference on Learning Representations (ICLR), 2021 D. Hejna Pieter Abbeel Lerrel Pinto 131 32 0 25 Feb 2021
Bias-reduced Multi-step Hindsight Experience Replay for Efficient Multi-goal Reinforcement Learning Rui Yang Jiafei Lyu Yu Yang Jiangpeng Yan Feng Luo Dijun Luo Lanqing Li Xiu Li 166 7 0 25 Feb 2021
TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution Karush Suri Xiaolong Shi Konstantinos Plataniotis Y. Lawryshyn OffRL 80 4 0 16 Feb 2021
COMBO: Conservative Offline Model-Based Policy OptimizationNeural Information Processing Systems (NeurIPS), 2021 Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 547 472 0 16 Feb 2021
Multi-Task Reinforcement Learning with Context-based RepresentationsInternational Conference on Machine Learning (ICML), 2021 Shagun Sodhani Amy Zhang Joelle Pineau 303 225 0 11 Feb 2021
rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks Pierre Aumjaud David McAuliffe Francisco J. Rodríguez-Lera P. Cardiff 143 11 0 09 Feb 2021
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents Jane X. Wang Michael King Nicolas Porcel Z. Kurth-Nelson Tina Zhu ... Neil C. Rabinowitz Loic Matthey Demis Hassabis Alexander Lerchner M. Botvinick OffRL 246 38 0 04 Feb 2021
Learning by Watching: Physical Imitation of Manipulation Skills from Human VideosIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Haoyu Xiong Quanzhou Li Yun-Chun Chen Homanga Bharadhwaj Samarth Sinha Animesh Garg SSL 423 122 0 18 Jan 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 262 90 0 13 Jan 2021
Action Priors for Large Action Spaces in RoboticsAdaptive Agents and Multi-Agent Systems (AAMAS), 2021 Ondrej Biza Dian Wang Robert Platt Jan-Willem van de Meent Lawson L. S. Wong 160 15 0 11 Jan 2021
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka OffRL 145 2 0 06 Jan 2021
When Is Generalizable Reinforcement Learning Tractable?Neural Information Processing Systems (NeurIPS), 2021 Dhruv Malik Yuanzhi Li Pradeep Ravikumar OffRL 458 26 0 01 Jan 2021
Model-Based Visual Planning with Self-Supervised Functional DistancesInternational Conference on Learning Representations (ICLR), 2020 Stephen Tian Suraj Nair F. Ebert Sudeep Dasari Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 334 66 0 30 Dec 2020
Towards Continual Reinforcement Learning: A Review and PerspectivesJournal of Artificial Intelligence Research (JAIR), 2020 Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 477 372 0 25 Dec 2020
Offline Reinforcement Learning from Images with Latent Space ModelsConference on Learning for Dynamics & Control (L4DC), 2020 Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn OffRL 167 140 0 21 Dec 2020
Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data AugmentationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 Albert Zhan Philip Zhao Lerrel Pinto Pieter Abbeel Michael Laskin SSL DRL 191 26 0 14 Dec 2020
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation Chenyang Zhao Timothy M. Hospedales OOD 81 18 0 09 Dec 2020
Neural Dynamic Policies for End-to-End Sensorimotor LearningNeural Information Processing Systems (NeurIPS), 2020 Shikhar Bahl Mustafa Mukadam Abhinav Gupta Deepak Pathak 185 90 0 04 Dec 2020
Intervention Design for Effective Sim2Real Transfer Melissa Mozifian Amy Zhang Joelle Pineau David Meger 198 9 0 03 Dec 2020
Latent Skill Planning for Exploration and TransferInternational Conference on Learning Representations (ICLR), 2020 Kevin Xie Homanga Bharadhwaj Danijar Hafner Animesh Garg Florian Shkurti 259 24 0 27 Nov 2020
Connecting Context-specific Adaptation in Humans to Meta-learning Rachit Dubey Erin Grant Michael Luo Karthik Narasimhan Thomas Griffiths 225 4 0 27 Nov 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy TransferEngineering applications of artificial intelligence (EAAI), 2020 Zohreh Raziei Mohsen Moghaddam 121 27 0 27 Nov 2020
Learn to Bind and Grow Neural Structures Azhar Shaikh Nishant Sinha CLL 62 0 0 21 Nov 2020
SAFARI: Safe and Active Robot Imitation Learning with Imagination Norman Di Palo Edward Johns 194 8 0 18 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive ClassificationInternational Conference on Learning Representations (ICLR), 2020 Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 268 87 0 17 Nov 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object ManipulationConference on Robot Learning (CoRL), 2020 Xingyu Lin Yufei Wang Jake Olkin David Held 245 251 0 14 Nov 2020
Learning Object Manipulation Skills via Approximate State Estimation from Real VideosConference on Robot Learning (CoRL), 2020 Vladimir Petrik Makarand Tapaswi Ivan Laptev Josef Sivic 167 24 0 13 Nov 2020
Reinforcement Learning with Videos: Combining Offline Observations with InteractionConference on Robot Learning (CoRL), 2020 Karl Schmeckpeper Oleh Rybkin Kostas Daniilidis Sergey Levine Chelsea Finn OffRL 336 111 0 12 Nov 2020
Zero-Shot Terrain Generalization for Visual Locomotion Policies Alejandro Escontrela George Yu P. Xu Atil Iscen Jie Tan 136 19 0 11 Nov 2020
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching H. Khorasgani Haiyan Wang Chetan Gupta OffRL OnRL 109 11 0 09 Nov 2020
Rearrangement: A Challenge for Embodied AI Dhruv Batra Angel X. Chang Sonia Chernova Andrew J. Davison Gaowen Liu ... Jitendra Malik Igor Mordatch Roozbeh Mottaghi Manolis Savva Hao Su LM&Ro 237 232 0 03 Nov 2020
Information-theoretic Task Selection for Meta-Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2020 Ricardo Luna Gutierrez Matteo Leonetti 182 19 0 02 Nov 2020
The MAGICAL Benchmark for Robust ImitationNeural Information Processing Systems (NeurIPS), 2020 Sam Toyer Rohin Shah Andrew Critch Stuart J. Russell 145 37 0 01 Nov 2020
Measuring and Harnessing Transference in Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 222 15 0 29 Oct 2020
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2020 Anurag Ajay Aviral Kumar Pulkit Agrawal Sergey Levine Ofir Nachum OffRL OnRL 333 180 0 26 Oct 2020
Modeling and Optimization Trade-off in Meta-learningNeural Information Processing Systems (NeurIPS), 2020 Katelyn Gao Ozan Sener 194 28 0 24 Oct 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning Annie S. Chen H. Nam Suraj Nair Chelsea Finn OffRL 142 27 0 22 Oct 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer LearningInternational Conference on Learning Representations (ICLR), 2020 Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 305 134 0 08 Oct 2020
Exploration in Approximate Hyper-State Space for Meta Reinforcement LearningInternational Conference on Machine Learning (ICML), 2020 L. Zintgraf Leo Feng Cong Lu Maximilian Igl Kristian Hartikainen Katja Hofmann Shimon Whiteson 337 43 0 02 Oct 2020
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning M. Berk Mirza Andrew Jaegle Jonathan J. Hunt A. Guez S. Tunyasuvunakool ... Peter Karkus S. Racanière Lars Buesing Timothy Lillicrap N. Heess AI4CE 135 13 0 11 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 422 711 0 10 Sep 2020
AllenAct: A Framework for Embodied AI Research Luca Weihs Jordi Salvador Klemen Kotar Unnat Jain Kuo-Hao Zeng Roozbeh Mottaghi Aniruddha Kembhavi LM&Ro AI4CE 191 77 0 28 Aug 2020
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis Zhipeng Bao Yu-Xiong Wang M. Hebert 153 11 0 16 Aug 2020