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07/18/2023
Scaling Laws for Imitation Learning in NetHack
Imitation Learning (IL) is one of the most widely used methods in machin...
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11/14/2022
Linear Reinforcement Learning with Ball Structure Action Space
We study the problem of Reinforcement Learning (RL) with linear function...
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10/06/2022
Deep Inventory Management
We present a Deep Reinforcement Learning approach to solving a periodic ...
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07/21/2022
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation
Multi-horizon probabilistic time series forecasting has wide applicabili...
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07/18/2022
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation
The current paper studies sample-efficient Reinforcement Learning (RL) i...
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12/14/2021
A Framework for the Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data
A central obstacle in the objective assessment of treatment effect (TE) ...
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09/30/2020
MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention
Recent advances in neural forecasting have produced major improvements i...
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04/21/2017