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Found 2 papers, 1 papers with code
ALP: Action-Aware Embodied Learning for Perception
In addition, we show that by training on actively collected data more relevant to the environment and task, our method generalizes more robustly to downstream tasks compared to models pre-trained on fixed datasets such as ImageNet.
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
Our intuition is that disagreement in learned reward model reflects uncertainty in tailored human feedback and could be useful for exploration.
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