Papers
959 papers found
Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation
Yan Zuo, Tom Drummond
Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection
Nikhil Das, Naman Gupta, Michael Yip
Gradient-free Policy Architecture Search and Adaptation
Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell
Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora
Nancy Fulda, Nathan Tibbetts, Zachary Brown et al.
Hierarchical Reinforcement Learning with Parameters
Maciej Klimek, Henryk Michalewski, Piotr Mi\loś
How Robots Learn to Classify New Objects Trained from Small Data Sets
Tick Son Wang, Zoltan-Csaba Marton, Manuel Brucker et al.
image2mass: Estimating the Mass of an Object from Its Image
Trevor Standley, Ozan Sener, Dawn Chen et al.
Improved Adversarial Systems for 3D Object Generation and Reconstruction
Edward J. Smith, David Meger
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
Wei Gao, David Hsu, Wee Sun Lee et al.
Learning a visuomotor controller for real world robotic grasping using simulated depth images
Ulrich Viereck, Andreas Pas, Kate Saenko et al.
Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact
Nima Fazeli, Samuel Zapolsky, Evan Drumwright et al.
Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences
Jeffrey Mahler, Ken Goldberg
Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems
Joshua Whitman, Girish Chowdhary
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation
Guan-Horng Liu, Avinash Siravuru, Sai Prabhakar et al.
Learning Heuristic Search via Imitation
Mohak Bhardwaj, Sanjiban Choudhury, Sebastian Scherer
Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics
Nishant Shukla, Yunzhong He, Frank Chen et al.
Learning Partially Contracting Dynamical Systems from Demonstrations
Harish Ravichandar, Iman Salehi, Ashwin Dani
Learning Robotic Manipulation of Granular Media
Connor Schenck, Jonathan Tompson, Sergey Levine et al.
Learning Robot Objectives from Physical Human Interaction
Andrea Bajcsy, Dylan P. Losey, Marcia K. O’Malley et al.
Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models
Jose R. Medina, Aude Billard
Mutual Alignment Transfer Learning
Markus Wulfmeier, Ingmar Posner, Pieter Abbeel
One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn, Tianhe Yu, Tianhao Zhang et al.
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals
Daniel Tanneberg, Jan Peters, Elmar Rueckert
Opportunistic Active Learning for Grounding Natural Language Descriptions
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov et al.
Optimizing Long-term Predictions for Model-based Policy Search
Andreas Doerr, CHristian Daniel, Duy Nguyen-Tuong et al.