🏢 Boston University
State-free Reinforcement Learning
·357 words·2 mins·
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Machine Learning
Reinforcement Learning
🏢 Boston University
State-free Reinforcement Learning (SFRL) framework eliminates the need for state-space information in RL algorithms, achieving regret bounds independent of the state space size and adaptive to the rea…
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
·2568 words·13 mins·
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AI Generated
Machine Learning
Reinforcement Learning
🏢 Boston University
PAGAR: a novel semi-supervised IRL framework prioritizing task alignment over data alignment, leveraging expert demonstrations as weak supervision to derive task-aligned reward functions for improved …
Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers
·3757 words·18 mins·
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AI Generated
Computer Vision
Image Classification
🏢 Boston University
DiChaViT boosts channel-adaptive vision transformers by enhancing feature diversity, yielding a 1.5-5% accuracy gain over state-of-the-art MCI models on diverse datasets.