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06/20/2023
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
The ability to leverage heterogeneous robotic experience from different ...
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04/25/2023
Towards Compute-Optimal Transfer Learning
The field of transfer learning is undergoing a significant shift with th...
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02/24/2023
Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains
In this paper we study the problem of learning multi-step dynamics predi...
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11/24/2022
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration
The ability to effectively reuse prior knowledge is a key requirement wh...
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09/05/2022
MO2: Model-Based Offline Options
The ability to discover useful behaviours from past experience and trans...
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04/12/2022
Offline Distillation for Robot Lifelong Learning with Imbalanced Experience
Robots will experience non-stationary environment dynamics throughout th...
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12/09/2021
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies
For robots operating in the real world, it is desirable to learn reusabl...
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06/24/2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Learning new tasks continuously without forgetting on a constantly chang...
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07/30/2020
Data-efficient Hindsight Off-policy Option Learning
Solutions to most complex tasks can be decomposed into simpler, intermed...
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11/19/2019
Attention Privileged Reinforcement Learning For Domain Transfer
Applying reinforcement learning (RL) to physical systems presents notabl...
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10/31/2019
Continual Unsupervised Representation Learning
Continual learning aims to improve the ability of modern learning system...
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07/16/2018
Meta-Learning with Latent Embedding Optimization
Gradient-based meta-learning techniques are both widely applicable and p...
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12/13/2016
Incorporating Human Domain Knowledge into Large Scale Cost Function Learning
Recent advances have shown the capability of Fully Convolutional Neural ...
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09/29/2016
Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks
This paper presents an end-to-end approach for tracking static and dynam...
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09/21/2016