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CoRL
Member since:
2020-12-15
Last seen:
2020-12-16
User details
Name:
Conference on Robot Learning
Website:
https://www.robot-learning.org/
About me:
The Conference on Robot Learning (CoRL) is an annual international conference focusing on the intersection of robotics and machine learning.
Papertalks of CoRL
16/11/2020
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
Yu Xiang
,
Christopher Xie
,
Arsalan Mousavian
,
Dieter Fox
Keywords
Abstract
Paper
5:17
16/11/2020
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
Mel Vecerik
,
Jean-Baptiste Regli
,
Oleg Sushkov
and
David Barker
,
Rugile Pevceviciute
,
Thomas Roth ̈orl
,
Raia Hadsell
,
Lourdes Agapito
,
Jonathan Scholz
Keywords
Abstract
Paper
5:06
16/11/2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
Xingyu Lin
,
Yufei Wang
,
Jake Olkin
,
David Held
Keywords
Abstract
Paper
5:06
16/11/2020
Recovering and Simulating Pedestrians in the Wild
Ze Yang
,
Sivabalan Manivasagam
,
Ming Liang
and
Bin Yang Uber ATG &
,
University of Toronto
,
Wei-Chiu Ma
,
Raquel Urtasun
Keywords
Abstract
Paper
4:53
16/11/2020
One Thousand and One Hours: Self-driving Motion Prediction Dataset
John Houston
,
Guido Zuidhof
,
Luca Bergamini
and
Yawei Ye
,
Long Chen
,
Ashesh Jain
,
Sammy Omari
,
Vladimir Iglovikov
,
Peter Ondruska
Keywords
Abstract
Paper
5:00
16/11/2020
Attention-Privileged Reinforcement Learning
Sasha Salter
,
Dushyant Rao
,
Markus Wulfmeier
and
Raia Hadsell
,
Ingmar Posner
Keywords
Abstract
Paper
4:54
16/11/2020
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
Michael Danielczuk
,
Ashwin Balakrishna
,
Daniel S Brown
and
Shivin Devgon
,
Ken Goldberg
Keywords
Abstract
Paper
5:04
16/11/2020
CLOUD: Contrastive Learning of Unsupervised Dynamics
Jianren Wang
,
Yujie Lu
,
Hang Zhao
Keywords
Abstract
Paper
5:05
16/11/2020
Learning Obstacle Representations for Neural Motion Planning
Robin STRUDEL
,
Ricardo Garcia Pinel
,
Justin Carpentier
and
Jean-Paul Laumond
,
Ivan Laptev
,
Cordelia Schmid
Keywords
Abstract
Paper
5:05
16/11/2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Karl Schmeckpeper
,
Oleh Rybkin
,
Kostas Daniilidis
and
Sergey Levine
,
Chelsea Finn
Keywords
Abstract
Paper
5:02
16/11/2020
PLOP: Probabilistic poLynomial Objects trajectory Prediction for autonomous driving
Thibault Buhet
,
Emilie Wirbel
,
Andrei Bursuc
,
Xavier Perrotton
Keywords
Abstract
Paper
5:03
16/11/2020
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents
Samyak Datta
,
Oleksandr Maksymets
,
Judy Hoffman
and
Stefan Lee
,
Dhruv Batra Georgia Tech &
,
Facebook AI Research
,
Devi Parikh Georgia Tech &
,
Facebook AI Research
Keywords
Abstract
Paper
5:08
16/11/2020
Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting
Xinshuo Weng
,
Jianren Wang
,
Sergey Levine
and
Kris Kitani
,
Nicholas Rhinehart
Keywords
Abstract
Paper
5:04
16/11/2020
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos
Vladimír Petrík
,
Makarand Tapaswi
,
Ivan Laptev
,
Josef Sivic
Keywords
Abstract
Paper
5:07
16/11/2020
Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds
Tai Wang
,
Xinge Zhu
,
Dahua Lin
Keywords
Abstract
Paper
5:05
16/11/2020
Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching
Zexi Chen
,
Xuecheng Xu
,
Yue Wang
,
Rong Xiong
Keywords
Abstract
Paper
1:39
16/11/2020
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving
Ming Zhou
,
Jun Luo
,
Julian Villella
and
Yaodong Yang
,
David Rusu
,
Jiayu Miao
,
Weinan Zhang
,
Montgomery Alban
,
IMAN FADAKAR
,
Zheng Chen
,
Chongxi Huang
,
Ying Wen
,
Kimia Hassanzadeh
,
Daniel Graves
,
Zhengbang Zhu
,
Yihan Ni
,
Nhat Nguyen
,
Mohamed Elsayed
,
Haitham Ammar
,
Alexander Cowen-Rivers Huawei R&
,
D UK
,
Sanjeevan Ahilan
,
Zheng Tian
,
Daniel Palenicek
,
Kasra Rezaee
,
Peyman Yadmellat
,
Kun Shao
,
dong chen
,
Baokuan Zhang
,
Hongbo Zhang
,
Jianye Hao
,
Wulong Liu
,
Jun Wang
Keywords
Abstract
Paper
5:05
16/11/2020
Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control
Ji Woong Kim
,
Peiyao Zhang
,
Peter Gehlbach
and
Iulian Iordachita
,
Marin Kobilarov
Keywords
Abstract
Paper
5:04
16/11/2020
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
Bryan Chen
,
Alexander Sax
,
Francis Lewis
and
Iro Armeni
,
Silvio Savarese
,
Amir Zamir
,
Jitendra Malik
,
Lerrel Pinto
Keywords
Abstract
Paper
5:06
16/11/2020
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
Robert Lee
,
Daniel Ward
,
Vibhavari Dasagi
and
Akansel Cosgun
,
Juxi Leitner
,
Peter Corke
Keywords
Abstract
Paper
4:42
16/11/2020
Multi-Level Structure vs. End-to-End-Learning in High-Performance Tactile Robotic Manipulation
Florian Voigt
,
Lars Johannsmeier
,
Sami Haddadin
Keywords
Abstract
Paper
5:13
16/11/2020
Learning Equality Constraints for Motion Planning on Manifolds
Giovanni Sutanto
,
Isabel Rayas Fernández
,
Peter Englert
and
Ragesh Kumar Ramachandran
,
Gaurav Sukhatme
Keywords
Abstract
Paper
4:59
16/11/2020
ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations
Samuel Pfrommer
,
Mathew Halm
,
Michael Posa
Keywords
Abstract
Paper
4:56
16/11/2020
Learning Predictive Models for Ergonomic Control of Prosthetic Devices
GEOFFEY CLARK
,
Joseph Campbell
,
Heni Ben Amor
Keywords
Abstract
Paper
5:04
16/11/2020
Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach
Kartik Paigwar
,
Lokesh Krishna
,
sashank tirumala
and
naman khetan
,
aditya varma
,
ashish joglekar
,
Shalabh Bhatnagar Bangalore
,
Ashitava Ghosal
,
Bharadwaj Amrutur
,
Shishir Kolathaya
Keywords
Abstract
Paper
5:10
16/11/2020
Task-Relevant Adversarial Imitation Learning
Konrad Zolna
,
Scott Reed
,
Alexander Novikov
and
Sergio Gómez Colmenarejo
,
David Budden
,
Serkan Cabi
,
Misha Denil
,
Nando de Freitas
,
Ziyu Wang
Keywords
Abstract
Paper
5:06
16/11/2020
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control
Boris Ivanovic
,
Amine Elhafsi
,
Guy Rosman
and
Adrien Gaidon
,
Marco Pavone
Keywords
Abstract
Paper
5:20
16/11/2020
Learning from Demonstrations using Signal Temporal Logic
Aniruddh Puranic
,
Jyotirmoy Deshmukh
,
Stefanos Nikolaidis
Keywords
Abstract
Paper
4:52
16/11/2020
Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections
Junha Roh
,
Christoforos Mavrogiannis
,
Rishabh Madan
and
Dieter Fox
,
Siddhartha Srinivasa
Keywords
Abstract
Paper
4:31
16/11/2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
Tanmay Gangwani
,
Jian Peng
,
Yuan Zhou
Keywords
Abstract
Paper
4:27
16/11/2020
Action-based Representation Learning for Autonomous Driving
Yi Xiao CVC &
,
UAB
,
Felipe Codevilla
and
Christopher Pal
,
Antonio Lopez CVC &
,
UAB
Keywords
Abstract
Paper
4:48
16/11/2020
Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
Feng Gao
,
Jincheng Yu
,
Hao Shen
and
Yu Wang
,
Huazhong Yang
Keywords
Abstract
Paper
4:39
16/11/2020
Differentiable Logic Layer for Rule Guided Trajectory Prediction
Xiao Li
,
Guy Rosman
,
Igor Gilitschenski
and
Jonathan DeCastro
,
Cristian-Ioan Vasile
,
Sertac Karaman
,
Daniela Rus
Keywords
Abstract
Paper
4:54
16/11/2020
Chaining Behaviors from Data with Model-Free Reinforcement Learning
Avi Singh
,
Albert Yu
,
Jonathan Yang
and
Jesse Zhang
,
Aviral Kumar
,
Sergey Levine
Keywords
Abstract
Paper
5:01
16/11/2020
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds
Ran Cheng
,
Christopher Agia
,
Yuan Ren
and
Xinhai Li
,
Liu Bingbing
Keywords
Abstract
Paper
6:13
16/11/2020
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning
Sean Gillen
,
Katie Byl
Keywords
Abstract
Paper
4:58
16/11/2020
GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection
Kuang-Yu Jeng
,
Yueh-Cheng Liu
,
Zhe Yu Liu
and
Jen-Wei Wang
,
Ya-Liang Chang
,
Hung-Ting Su
,
Winston Hsu
Keywords
Abstract
Paper
5:13
16/11/2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
Ryan Julian
,
Benjamin Swanson
,
Gaurav Sukhatme
and
Sergey Levine
,
Chelsea Finn
,
Karol Hausman
Keywords
Abstract
Paper
5:47
16/11/2020
Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning
Son Nguyen
,
Ozgur Oguz Uni. of Stuttgart &
,
Max Planck Inst. for Intelligent Systems
and
Valentin Hartmann
,
Marc Toussaint
Keywords
Abstract
Paper
5:01
16/11/2020
Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation
Jiexiong Tang
,
Rareș Ambruș
,
Vitor Guizilini
and
Sudeep Pillai
,
Hanme Kim
,
Patric Jensfelt
,
Adrien Gaidon
Keywords
Abstract
Paper
5:05
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