Q. N. Xu
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View article: In-Context Compositional Q-Learning for Offline Reinforcement Learning
In-Context Compositional Q-Learning for Offline Reinforcement Learning Open
Accurately estimating the Q-function is a central challenge in offline reinforcement learning. However, existing approaches often rely on a single global Q-function, which struggles to capture the compositional nature of tasks involving di…
View article: Evaluation of Teaching Reliability of Ideological and Political Courses in Colleges and Universities Based on DTW Algorithm
Evaluation of Teaching Reliability of Ideological and Political Courses in Colleges and Universities Based on DTW Algorithm Open
View article: WYL-Former: An Attention-based Performance Prediction Model with Parent-School Synergy
WYL-Former: An Attention-based Performance Prediction Model with Parent-School Synergy Open
View article: Unveiling Markov Heads in Pretrained Language Models for Offline Reinforcement Learning
Unveiling Markov Heads in Pretrained Language Models for Offline Reinforcement Learning Open
Recently, incorporating knowledge from pretrained language models (PLMs) into decision transformers (DTs) has generated significant attention in offline reinforcement learning (RL). These PLMs perform well in RL tasks, raising an intriguin…