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cs.LG2025
Beyond Imitation: Recovering Dense Rewards from Demonstrations
Jiangnan Li, Thuy-Trang Vu, Ehsan Abbasnejad +1
Conventionally, supervised fine-tuning (SFT) is treated as a simple imitation learning process that only trains a policy to imitate expert behavior on demonstration datasets. In th…
cs.LG2023★ 1 cited
Active Continual Learning: On Balancing Knowledge Retention and Learnability
Thuy-Trang Vu, Shahram Khadivi, Mahsa Ghorbanali +2
Acquiring new knowledge without forgetting what has been learned in a sequence of tasks is the central focus of continual learning (CL). While tasks arrive sequentially, the traini…