Skip to content

Conference on Robot Learning

CoRL

Unranked

CORE rank

CORE rank (raw)

Unranked

Fields of research

Artificial Intelligence · Machine Learning · Computer Vision and Multimedia Computation

Papers indexed

1,225

2017–2024

Papers per year

2017264 peak2024

CoRL papers

1,225 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2019Macro-Action-Based Deep Multi-Agent Reinforcement Learning.Yuchen Xiao, Joshua Hoffman, Christopher Amato
2019Model-based Behavioral Cloning with Future Image Similarity Learning.Alan Wu, A. J. Piergiovanni, Michael S. Ryoo
2019MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning.Bohan Wu, Iretiayo Akinola, Jacob Varley, Peter K. Allen
2019Identifying Unknown Instances for Autonomous Driving.Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun
2019Learning to Manipulate Object Collections Using Grounded State Representations.Matthew Wilson, Tucker Hermans
2019Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control.Grady R. Williams, Brian Goldfain, Keuntaek Lee, Jason Gibson, James M. Rehg, Evangelos A. Theodorou
2019Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments.Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
2019Energy-efficient Path Planning for Ground Robots by and Combining Air and Ground Measurements.Minghan Wei, Volkan Isler
2019Stochastic Optimal Control as Approximate Input Inference.Joe Watson, Hany Abdulsamad, Jan Peters
2019Entity Abstraction in Visual Model-Based Reinforcement Learning.Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine
2019Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration.Vaibhav V. Unhelkar, Shen Li, Julie A. Shah
2019Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks.Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro
2019Vision-and-Dialog Navigation.Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer
2019Worst Cases Policy Gradients.Yichuan Charlie Tang, Jian Zhang, Ruslan Salakhutdinov
2019Graph-Structured Visual Imitation.Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki
2019Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration.Lukas Schwenkel, Meng Guo, Mathias Brger
2019Receding Horizon Curiosity.Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters
2019Learning to Navigate Using Mid-Level Visual Priors.Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik
2019Understanding Teacher Gaze Patterns for Robot Learning.Akanksha Saran, Elaine Schaertl Short, Andrea Thomaz, Scott Niekum
2019Conditional Driving from Natural Language Instructions.Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox
2019Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations.Muhammad Asif Rana, Anqi Li, Harish Ravichandar, Mustafa Mukadam, Sonia Chernova, Dieter Fox, Byron Boots, Nathan D. Ratliff
2019S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes.Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su
2019Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments.Rmy Portelas, Cdric Colas, Katja Hofmann, Pierre-Yves Oudeyer
2019Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments.Siddharth Patki, Ethan Fahnestock, Thomas M. Howard, Matthew R. Walter
2019Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning.Daehyung Park, Michael Noseworthy, Rohan Paul, Subhro Roy, Nicholas Roy
1,0011,025 of 1,225← PreviousNext →

Comparable venues

Other A*/A conferences filed under the same field of research.