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05/05/2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
We describe a system for deep reinforcement learning of robotic manipula...
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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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04/04/2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Large language models can encode a wealth of semantic knowledge about th...
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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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02/03/2022
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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07/08/2021
First-Generation Inference Accelerator Deployment at Facebook
In this paper, we provide a deep dive into the deployment of inference a...
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01/15/2021
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning
As learning-based approaches progress towards automating robot controlle...
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11/23/2020
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing
General contact-rich manipulation problems are long-standing challenges ...
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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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06/11/2020
SegNBDT: Visual Decision Rules for Segmentation
The black-box nature of neural networks limits model decision interpreta...
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04/01/2020
NBDT: Neural-Backed Decision Trees
Deep learning is being adopted in settings where accurate and justifiabl...
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05/14/2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
A key challenge in leveraging data augmentation for neural network train...
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11/17/2017