Papers
959 papers found
Learning Audio Feedback for Estimating Amount and Flow of Granular Material
Samuel Clarke, Travers Rhodes, Christopher G. Atkeson et al.
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal
Jake Bruce, Niko Sunderhauf, Piotr Mirowski et al.
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling et al.
Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments
Gregory J. Stein, Christopher Bradley, Nicholas Roy
Learning to Localize Using a LiDAR Intensity Map
Ioan Andrei Barsan, Shenlong Wang, Andrei Pokrovsky et al.
Learning under Misspecified Objective Spaces
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac et al.
Learning What Information to Give in Partially Observed Domains
Rohan Chitnis, Leslie Pack Kaelbling, Tomas Lozano-Perez
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization
Paul-Edouard Sarlin, Frederic Debraine, Marcin Dymczyk et al.
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction
Valts Blukis, Dipendra Misra, Ross A. Knepper et al.
Model-Based Reinforcement Learning via Meta-Policy Optimization
Ignasi Clavera, Jonas Rothfuss, John Schulman et al.
Modular meta-learning
Ferran Alet, Tomas Lozano-Perez, Leslie P. Kaelbling
Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs
Patrick Wenzel, Qadeer Khan, Daniel Cremers et al.
Motion Perception in Reinforcement Learning with Dynamic Objects
Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun et al.
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
Rituraj Kaushik, Konstantinos Chatzilygeroudis, Jean-Baptiste Mouret
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation
Pratyusha Sharma, Lekha Mohan, Lerrel Pinto et al.
Neural Modular Control for Embodied Question Answering
Abhishek Das, Georgia Gkioxari, Stefan Lee et al.
PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments
Anirudha Majumdar, Maxwell Goldstein
Particle Filter Networks with Application to Visual Localization
Peter Karkus, David Hsu, Wee Sun Lee
Personalized Dynamics Models for Adaptive Assistive Navigation Systems
Eshed OhnBar, Kris Kitani, Chieko Asakawa
Policies Modulating Trajectory Generators
Atil Iscen, Ken Caluwaerts, Jie Tan et al.
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions
Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki
Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets
Guilherme Maeda, Okan Koc, Jun Morimoto
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
Joshua Romoff, Peter Henderson, Alexandre Piche et al.
Risk-Aware Active Inverse Reinforcement Learning
Daniel S. Brown, Yuchen Cui, Scott Niekum
ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
Ajay Mandlekar, Yuke Zhu, Animesh Garg et al.