Learning From Guided Play: Improving Exploration for Adversarial Imitation Learning With Simple Auxiliary Tasks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3236882
Abstract: Adversarial imitation learning (AIL) has become a popular alternative to supervised imitation learning that reduces the distribution shift suffered by the latter. However, AIL requires effective exploration during an online reinforcement learning phase. In this… read more here.
Keywords: adversarial imitation; learning guided; imitation learning; exploration ... See more keywords
Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multitask Learning Perspective
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3462788
Abstract: Human beings can leverage knowledge from relative tasks to improve learning on a primary task. Similarly, multitask learning (MTL) methods suggest using auxiliary tasks to enhance a neural network’s performance on a specific primary task.… read more here.
Keywords: task; multitask learning; auxiliary tasks; performance ... See more keywords
Improving Automated Essay Scoring by Prompt Prediction and Matching
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24091206
Abstract: Automated essay scoring aims to evaluate the quality of an essay automatically. It is one of the main educational application in the field of natural language processing. Recently, Pre-training techniques have been used to improve… read more here.
Keywords: automated essay; essay scoring; prompt prediction; auxiliary tasks ... See more keywords