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03/23/2023
On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning
As robots become more prevalent, optimizing their design for better perf...
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02/08/2023
Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation
Recent progress in end-to-end Imitation Learning approaches has shown pr...
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11/06/2022
Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models
Learning from demonstration (LfD) is a proven technique to teach robots ...
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02/15/2022
Bayesian Imitation Learning for End-to-End Mobile Manipulation
In this work we investigate and demonstrate benefits of a Bayesian appro...
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02/04/2022
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
In this paper, we study the problem of enabling a vision-based robotic m...
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02/03/2022
Practical Imitation Learning in the Real World via Task Consistency Loss
Recent work in visual end-to-end learning for robotics has shown the pro...
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11/09/2021
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
Robotic skills can be learned via imitation learning (IL) using user-pro...
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11/06/2020
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
The success of deep reinforcement learning (RL) and imitation learning (...
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06/16/2020
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
Deep neural network based reinforcement learning (RL) can learn appropri...
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06/08/2020
Modeling Long-horizon Tasks as Sequential Interaction Landscapes
Complex object manipulation tasks often span over long sequences of oper...
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05/13/2020
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data
This paper introduces Action Image, a new grasp proposal representation ...
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02/25/2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement
While robot learning has demonstrated promising results for enabling rob...
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06/21/2019
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks
Training a deep network policy for robot manipulation is notoriously cos...
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06/10/2019
Online Object Representations with Contrastive Learning
We propose a self-supervised approach for learning representations of ob...
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06/07/2019
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward
Imitation learning allows agents to learn complex behaviors from demonst...
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03/05/2019
Learning Latent Plans from Play
We propose learning from teleoperated play data (LfP) as a way to scale ...
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04/13/2018
Learning Contracting Vector Fields For Stable Imitation Learning
We propose a new non-parametric framework for learning incrementally sta...
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08/24/2017
