Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation

17 September 2021

Mohit Sharma

Papers citing "Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation"

27 / 27 papers shown

Title
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies Soroush Nasiriany Vitchyr H. Pong Ashvin Nair Alexander Khazatsky Glen Berseth Sergey Levine OffRL 83 15 0 23 Apr 2021
Object and Relation Centric Representations for Push Effect Prediction Ahmet E. Tekden Aykut Erdem Erkut Erdem Tamim Asfour Emre Ugur 48 16 0 03 Feb 2021
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning Nathan Lambert Albert Wilcox Howard Zhang K. Pister Roberto Calandra 57 33 0 16 Dec 2020
Reset-Free Lifelong Learning with Skill-Space Planning Kevin Lu Aditya Grover Pieter Abbeel Igor Mordatch CLL OffRL 78 38 0 07 Dec 2020
C-Learning: Horizon-Aware Cumulative Accessibility Estimation Panteha Naderian Gabriel Loaiza-Ganem H. Braviner Anthony L. Caterini Jesse C. Cresswell Tong Li Animesh Garg 65 1 0 24 Nov 2020
Deep Affordance Foresight: Planning Through What Can Be Done in the Future Danfei Xu Ajay Mandlekar Roberto Martín-Martín Yuke Zhu Silvio Savarese Li Fei-Fei 63 72 0 17 Nov 2020
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects Anthony Simeonov Yilun Du Beomjoon Kim F. Hogan J. Tenenbaum Pulkit Agrawal Alberto Rodriguez 3DPC 42 50 0 16 Nov 2020
Planning under Uncertainty to Goal Distributions Adam Conkey Tucker Hermans 45 3 0 09 Nov 2020
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 60 35 0 27 Oct 2020
Decision Making in Joint Push-Grasp Action Space for Large-Scale Object Sorting Zherong Pan Kris K. Hauser 82 21 0 20 Oct 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning Brian Ichter P. Sermanet Corey Lynch 68 38 0 13 Oct 2020
Leveraging Multiple Environments for Learning and Decision Making: a Dismantling Use Case Alejandro Suárez-Hernández Thierry Gaugry Javier Segovia Aguas Antonin Bernardin Carme Torras M. Marchal Guillem Alenyà 135 1 0 18 Sep 2020
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion Tianyu Li Roberto Calandra Deepak Pathak Yuandong Tian Franziska Meier Akshara Rai 46 30 0 27 Aug 2020
Learning compositional models of robot skills for task and motion planning Zi Wang Caelan Reed Garrett L. Kaelbling Tomás Lozano-Pérez 73 108 0 08 Jun 2020
Multi-Object Rearrangement with Monte Carlo Tree Search:A Case Study on Planar Nonprehensile Sorting Haoran Song Joshua A. Haustein Weihao Yuan Kaiyu Hang M. Y. Wang Danica Kragic J. A. Stork 56 55 0 15 Dec 2019
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 140 219 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 91 119 0 13 Nov 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 99 408 0 02 Jul 2019
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving Manfred Eppe Phuong D. H. Nguyen S. Wermter 51 42 0 23 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 226 4,339 0 06 Mar 2019
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning Michael Janner Sergey Levine William T. Freeman J. Tenenbaum Chelsea Finn Jiajun Wu OCL 72 129 0 28 Dec 2018
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning Jacky Liang Viktor Makoviychuk Ankur Handa N. Chentanez Miles Macklin Dieter Fox AI4CE 67 182 0 12 Oct 2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space Jiechao Xiong Qing Wang Zhuoran Yang Peng Sun Lei Han Yang Zheng Haobo Fu Tong Zhang Ji Liu Han Liu 46 171 0 10 Oct 2018
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning Caelan Reed Garrett Tomás Lozano-Pérez L. Kaelbling 68 260 0 23 Feb 2018
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 533 1,410 0 01 Dec 2016
Deep Reinforcement Learning in Parameterized Action Space Matthew J. Hausknecht Peter Stone 52 308 0 13 Nov 2015
Reinforcement Learning with Parameterized Actions W. Masson Pravesh Ranchod George Konidaris 122 208 0 05 Sep 2015