Universal Planning Networks

2 April 2018

Pieter Abbeel

Papers citing "Universal Planning Networks"

36 / 36 papers shown

Title
Online Control-Informed Learning Zihao Liang Tianyu Zhou Zehui Lu Shaoshuai Mou 33 1 0 04 Oct 2024
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 25 138 0 15 Jun 2022
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin G. Walters Lawson L. S. Wong 20 7 0 08 Jun 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 34 9 0 23 Feb 2022
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks Albert Wilcox Ashwin Balakrishna Brijen Thananjeyan Joseph E. Gonzalez Ken Goldberg 12 11 0 10 Jul 2021
PathBench: A Benchmarking Platform for Classical and Learned Path Planning Algorithms Alexandru Toma Hao-Ya Hsueh H. Jaafar Riku Murai Paul H. J. Kelly Sajad Saeedi 15 20 0 04 May 2021
Waypoint Planning Networks Alexandru Toma H. Jaafar Hao-Ya Hsueh Stephen James Daniel Lenton R. Clark Sajad Saeedi 22 9 0 01 May 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL Iretiayo Akinola Zizhao Wang Peter K. Allen 32 2 0 24 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
Robotic self-representation improves manipulation skills and transfer learning Phuong D. H. Nguyen Manfred Eppe S. Wermter SSL 11 1 0 13 Nov 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 39 809 0 05 Oct 2020
Learning to plan with uncertain topological maps E. Beeching J. Dibangoye Olivier Simonin Christian Wolf 19 40 0 10 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 11 199 0 09 Jul 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 19 1 0 21 May 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 33 86 0 16 May 2020
Probably Approximately Correct Vision-Based Planning using Motion Primitives Sushant Veer Anirudha Majumdar 3DV 14 21 0 28 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 22 25 0 14 Feb 2020
Combining Q-Learning and Search with Amortized Value Estimates Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez Tobias Pfaff T. Weber Lars Buesing Peter W. Battaglia OffRL 22 47 0 05 Dec 2019
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation Xinlei Pan Tingnan Zhang Brian Ichter Aleksandra Faust Jie Tan Sehoon Ha 52 25 0 27 Sep 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 21 54 0 27 Sep 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners A. H. Qureshi Yinglong Miao Anthony Simeonov Michael C. Yip PINN 3DV 28 212 0 13 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
Risks from Learned Optimization in Advanced Machine Learning Systems Evan Hubinger Chris van Merwijk Vladimir Mikulik Joar Skalse Scott Garrabrant 14 145 0 05 Jun 2019
Prospection: Interpretable Plans From Language By Predicting the Future Chris Paxton Yonatan Bisk Jesse Thomason Arunkumar Byravan D. Fox LM&Ro 18 47 0 20 Mar 2019
Towards Learning Abstract Representations for Locomotion Planning in High-dimensional State Spaces Tobias Klamt Sven Behnke 18 10 0 06 Mar 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 20 122 0 08 Jan 2019
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu S. Hansen Volodymyr Mnih DRL OffRL SSL 28 172 0 28 Nov 2018
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies Homanga Bharadhwaj Zihan Wang Yoshua Bengio Liam Paull 16 40 0 11 Oct 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 27 388 0 03 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 34 71 0 30 Sep 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 20 535 0 12 Jul 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas L. Griffiths 21 68 0 12 Jul 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck D. Fox PINN 3DPC AI4CE 172 161 0 15 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 41 106 0 12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 229 809 0 13 Nov 2016