Safe Reinforcement Learning (RL) aims to find a policy that achieves hig...
This paper studies speculative reasoning task on real-world knowledge gr...
Predicting how a user responds to news events enables important applicat...
On social media, additional context is often present in the form of
anno...
In this paper, we investigate a realistic but underexplored problem, cal...
Offline Reinforcement learning (RL) has shown potent in many safe-critic...
Reinforcement Learning (RL) has been shown effective in domains where th...
This paper develops a novel unsupervised algorithm for belief representa...
Autonomous vehicles need to handle various traffic conditions and make s...
Autonomous vehicles (AVs) need to interact with other traffic participan...
Drawing a beautiful painting is a dream of many people since childhood. ...
Nowadays, events usually burst and are propagated online through multipl...