most citedA Survey on Causal Reinforcement Learning

6 citations · 7 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Exemplar-Free Class Incremental Learning via Incremental Representation

Libo Huang, Zhulin An, Yan Zeng +3

Exemplar-Free Class Incremental Learning (efCIL) aims to continuously incorporate the knowledge from new classes while retaining previously learned information, without storing any…

cs.CV2023★ 1 cited

eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation

Libo Huang, Yan Zeng, Chuanguang Yang +3

Class-Incremental Learning (CIL) aims to solve the neural networks' catastrophic forgetting problem, which refers to the fact that once the network updates on a new task, its perfo…

cs.AI2023★ 6 cited

A Survey on Causal Reinforcement Learning

Yan Zeng, Ruichu Cai, Fuchun Sun +2

While Reinforcement Learning (RL) achieves tremendous success in sequential decision-making problems of many domains, it still faces key challenges of data inefficiency and the lac…