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10/12/2022
Find Your Friends: Personalized Federated Learning with the Right Collaborators
In the traditional federated learning setting, a central server coordina...
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06/13/2021
Characterizing the Gap Between Actor-Critic and Policy Gradient
Actor-critic (AC) methods are ubiquitous in reinforcement learning. Alth...
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03/02/2020
Batch Stationary Distribution Estimation
We consider the problem of approximating the stationary distribution of ...
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01/05/2020
Universal Successor Features for Transfer Reinforcement Learning
Transfer in Reinforcement Learning (RL) refers to the idea of applying k...
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09/11/2019
Domain Aggregation Networks for Multi-Source Domain Adaptation
In many real-world applications, we want to exploit multiple source data...
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12/03/2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Deep neural networks are known to suffer the catastrophic forgetting pro...
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04/11/2018