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07/17/2023
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient
Restricting the variance of a policy's return is a popular choice in ris...
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03/27/2023
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation
Multimodal learning has seen great success mining data features from mul...
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06/20/2022
Benchmarking Constraint Inference in Inverse Reinforcement Learning
When deploying Reinforcement Learning (RL) agents into a physical system...
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06/02/2022
Learning Soft Constraints From Constrained Expert Demonstrations
Inverse reinforcement learning (IRL) methods assume that the expert data...
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09/09/2021
NTS-NOTEARS: Learning Nonparametric Temporal DAGs With Time-Series Data and Prior Knowledge
We propose a score-based DAG structure learning method for time-series d...
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06/04/2020
Cracking the Black Box: Distilling Deep Sports Analytics
This paper addresses the trade-off between Accuracy and Transparency for...
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07/16/2018
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees
Deep Reinforcement Learning (DRL) has achieved impressive success in man...
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05/26/2018
