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cs.LG2023★ 2 cited
Semi-Offline Reinforcement Learning for Optimized Text Generation
Changyu Chen, Xiting Wang, Yiqiao Jin +5
In reinforcement learning (RL), there are two major settings for interacting with the environment: online and offline. Online methods explore the environment at significant time co…
cs.CV2023
Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification
Hao Xu, Hui Xiao, Huazheng Hao +3
Semi-supervised learning frameworks usually adopt mutual learning approaches with multiple submodels to learn from different perspectives. To avoid transferring erroneous pseudo la…