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05/05/2023
Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning
Standard approaches to sequential decision-making exploit an agent's abi...
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10/10/2022
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer
As machine learning permeates more industries and models become more exp...
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02/17/2022
Retrieval-Augmented Reinforcement Learning
Most deep reinforcement learning (RL) algorithms distill experience into...
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11/08/2020
On the role of planning in model-based deep reinforcement learning
Model-based planning is often thought to be necessary for deep, careful ...
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09/12/2019
Modular Meta-Learning with Shrinkage
Most gradient-based approaches to meta-learning do not explicitly accoun...
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10/31/2017
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem
As neural networks grow deeper and wider, learning networks with hard-th...
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11/11/2016
The Sum-Product Theorem: A Foundation for Learning Tractable Models
Inference in expressive probabilistic models is generally intractable, w...
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11/08/2016