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07/21/2023
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs
Covering skill (a.k.a., option) discovery has been developed to improve ...
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07/17/2023
Scale-Aware Modulation Meet Transformer
This paper presents a new vision Transformer, Scale-Aware Modulation Tra...
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05/27/2023
Hierarchical Deep Counterfactual Regret Minimization
Imperfect Information Games (IIGs) offer robust models for scenarios whe...
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05/22/2023
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Multi-task Imitation Learning (MIL) aims to train a policy capable of pe...
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01/09/2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration
We consider the problem of cooperative exploration where multiple robots...
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12/01/2022
ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process
Learning rich skills through temporal abstractions without supervision o...
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10/07/2022
Multi-agent Deep Covering Option Discovery
The use of options can greatly accelerate exploration in reinforcement l...
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10/05/2022
Hierarchical Adversarial Inverse Reinforcement Learning
Hierarchical Imitation Learning (HIL) has been proposed to recover highl...
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09/15/2022
Prediction of Gender from Longitudinal MRI data via Deep Learning on Adolescent Data Reveals Unique Patterns Associated with Brain Structure and Change over a Two-year Period
Deep learning algorithms for predicting neuroimaging data have shown con...
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01/20/2022
Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs
Covering option discovery has been developed to improve the exploration ...
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11/08/2021
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
We introduce a curriculum learning algorithm, Variational Automatic Curr...
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03/05/2021
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery
With the freight delivery demands and shipping costs increasing rapidly,...
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05/27/2020
Fast and Effective Robustness Certification for Recurrent Neural Networks
We present a precise and scalable verifier for recurrent neural networks...
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11/19/2019