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06/14/2023
Kalman Filter for Online Classification of Non-Stationary Data
In Online Continual Learning (OCL) a learning system receives a stream o...
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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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05/23/2022
Data augmentation for efficient learning from parametric experts
We present a simple, yet powerful data-augmentation technique to enable ...
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11/18/2020
Game Plan: What AI can do for Football, and What Football can do for AI
The rapid progress in artificial intelligence (AI) and machine learning ...
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10/27/2020
Behavior Priors for Efficient Reinforcement Learning
As we deploy reinforcement learning agents to solve increasingly challen...
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10/16/2020
Learning Dexterous Manipulation from Suboptimal Experts
Learning dexterous manipulation in high-dimensional state-action spaces ...
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09/10/2020
Importance Weighted Policy Learning and Adaption
The ability to exploit prior experience to solve novel problems rapidly ...
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09/07/2020
Information Theoretic Meta Learning with Gaussian Processes
We formulate meta learning using information theoretic concepts such as ...
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06/12/2019
Task Agnostic Continual Learning via Meta Learning
While neural networks are powerful function approximators, they suffer f...
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05/15/2019
Meta reinforcement learning as task inference
Humans achieve efficient learning by relying on prior knowledge about th...
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05/03/2019
Information asymmetry in KL-regularized RL
Many real world tasks exhibit rich structure that is repeated across dif...
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03/28/2019
Meta-Learning surrogate models for sequential decision making
Meta-learning methods leverage past experience to learn data-driven indu...
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03/18/2019
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL
As reinforcement learning agents are tasked with solving more challengin...
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11/28/2018