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06/22/2023
Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
Reinforcement learning often needs to deal with the exponential growth o...
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06/08/2023
Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes
Transfer learning is a useful technique for achieving improved performan...
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06/01/2023
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning
Fairness plays a crucial role in various multi-agent systems (e.g., comm...
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04/09/2023
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning
Meta-learning has arisen as a successful method for improving training p...
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02/12/2023
Theory on Forgetting and Generalization of Continual Learning
Continual learning (CL), which aims to learn a sequence of tasks, has at...
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06/04/2022
On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model
In this paper, we study the generalization performance of overparameteri...
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03/09/2021
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
In this paper, we study the generalization performance of min ℓ_2-norm o...
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02/02/2020