3 accepted papers
The role of reinforcement learning (RL) in enhancing the reasoning of large language models (LLMs) is becoming increasingly significant. Despite the success of RL in many scenarios, there are still many challenges in improving the reasoning of LLMs. One key challenge is the sparse reward, which intr…
Emotion recognition in shooting is of great importance for improving athletes’ training methods. However, there is no open and high confident electroencephalography (EEG) dataset about shooting due to the difficulty of data acquisition, which made it a challenge for related studies. In this paper, w…
Estimated time of arrival (ETA) is one of the most important services in intelligent transportation systems (ITS) and becomes a challenging spatial-temporal (ST) data mining task in recent years. Nowadays, deep learning based methods, specifically recurrent neural networks (RNN) based ones are adapt…