Learning Latent Plans from Play

5 March 2019

Vikash Kumar

Papers citing "Learning Latent Plans from Play"

46 / 96 papers shown

Title
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
Learning Dynamic Manipulation Skills from Haptic-Play Taeyoon Lee D. Sung Kyoung-Whan Choi Choong-Keun Lee Changwoo Park Keunjun Choi 32 3 0 28 Jul 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning Yunfei Li Tian Gao Jiaqi Yang Huazhe Xu Yi Wu OffRL 19 22 0 24 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 25 138 0 15 Jun 2022
Intra-agent speech permits zero-shot task acquisition Chen Yan Federico Carnevale Petko Georgiev Adam Santoro Aurelia Guy Alistair Muldal Chia-Chun Hung Josh Abramson Timothy Lillicrap Greg Wayne LM&Ro 36 9 0 07 Jun 2022
SARI: Shared Autonomy across Repeated Interaction Ananth Jonnavittula Shaunak A. Mehta Dylan P. Losey 35 9 0 19 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 23 15 0 04 May 2022
What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data Oier Mees Lukás Hermann Wolfram Burgard LM&Ro 30 149 0 13 Apr 2022
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning Abhishek Gupta Corey Lynch Brandon Kinman Garrett Peake Sergey Levine Karol Hausman OffRL 19 17 0 29 Mar 2022
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation Sridhar Pandian Arunachalam Sneha Silwal Ben Evans Lerrel Pinto 35 101 0 24 Mar 2022
PLATO: Predicting Latent Affordances Through Object-Centric Play Suneel Belkhale Dorsa Sadigh OffRL 22 13 0 10 Mar 2022
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL Rui Yang Yiming Lu Wenzhe Li Hao Sun Meng Fang Yali Du Xiu Li Lei Han Chongjie Zhang OffRL 38 65 0 09 Feb 2022
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning S. Chen Jensen Gao S. Reddy Glen Berseth Anca Dragan Sergey Levine OffRL 22 11 0 05 Feb 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao Yizhou Jiang F. Chen 30 8 0 28 Jan 2022
RvS: What is Essential for Offline RL via Supervised Learning? Scott Emmons Benjamin Eysenbach Ilya Kostrikov Sergey Levine OffRL 23 170 0 20 Dec 2021
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics Ingmar Schubert Danny Driess Ozgur S. Oguz Marc Toussaint OffRL 22 1 0 15 Nov 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay Norman Di Palo Edward Johns SSL 19 23 0 14 Nov 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 27 90 0 28 Oct 2021
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data Mengjiao Yang Sergey Levine Ofir Nachum OffRL 38 42 0 27 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 29 16 0 22 Oct 2021
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk M. Geist Olivier Pietquin OffRL 26 23 0 19 Oct 2021
Geometric Task Networks: Learning Efficient and Explainable Skill Coordination for Object Manipulation Meng Guo Mathias Bürger 27 9 0 18 Sep 2021
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration Oliver Groth Markus Wulfmeier Giulia Vezzani Vibhavari Dasagi Tim Hertweck Roland Hafner N. Heess Martin Riedmiller LRM 35 20 0 17 Sep 2021
UMPNet: Universal Manipulation Policy Network for Articulated Objects Zhenjia Xu Zhanpeng He Shuran Song PINN 16 84 0 13 Sep 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals Andrii Zadaianchuk Georg Martius Fanny Yang SSL 64 16 0 09 Sep 2021
Playful Interactions for Representation Learning Sarah Young Jyothish Pari Pieter Abbeel Lerrel Pinto SSL 33 14 0 19 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans Lirui Wang Xiangyun Meng Yu Xiang D. Fox 3DPC DRL 16 27 0 04 Jul 2021
Episodic Transformer for Vision-and-Language Navigation Alexander Pashevich Cordelia Schmid Chen Sun LM&Ro 29 193 0 13 May 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 C. Julian Chelsea Finn Sergey Levine SSL OffRL 23 145 0 15 Apr 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 19 70 0 12 Apr 2021
Learning Task Decomposition with Ordered Memory Policy Network Yucheng Lu Yikang Shen Siyuan Zhou Aaron Courville J. Tenenbaum Chuang Gan 16 15 0 19 Mar 2021
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap M. Lippi Petra Poklukar Michael C. Welle Anastasia Varava Hang Yin Alessandro Marino Danica Kragic 21 13 0 03 Mar 2021
Learning Composable Behavior Embeddings for Long-horizon Visual Navigation Xiangyun Meng Yu Xiang D. Fox 24 3 0 19 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 18 14 0 18 Feb 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 76 76 0 13 Jan 2021
Self-supervised Visual Reinforcement Learning with Object-centric Representations Andrii Zadaianchuk Maximilian Seitzer Georg Martius SSL OCL 27 41 0 29 Nov 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 33 241 0 15 May 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 6 1,304 0 15 Apr 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement Benjamin Eysenbach Xinyang Geng Sergey Levine Ruslan Salakhutdinov OffRL 18 86 0 25 Feb 2020
Learning to Reach Goals via Iterated Supervised Learning Dibya Ghosh Abhishek Gupta Ashwin Reddy Justin Fu Coline Devin Benjamin Eysenbach Sergey Levine 19 33 0 12 Dec 2019
DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System Ankur Handa Karl Van Wyk Wei Yang Jacky Liang Yu-Wei Chao Qian Wan Stan Birchfield Nathan D. Ratliff D. Fox 24 194 0 07 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 21 54 0 27 Sep 2019
Controlling Assistive Robots with Learned Latent Actions Dylan P. Losey K. Srinivasan Ajay Mandlekar Animesh Garg Dorsa Sadigh 26 69 0 20 Sep 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum G. Konidaris 24 355 0 06 Jul 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 13 284 0 12 Jun 2019
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 162 275 0 07 Jul 2017