Specifically, we detail how baseline models are tuned in link prediction tasks as follows.

However, XLNet does not leverage the full position information of a sentence and thus suffers from position discrepancy between pre-training and fine-tuning.

Reinforcement learning (RL) promises to enable autonomous acquisition of complex behaviors for diverse agents.

This is caused by the recurrent connections which amplify each small change in the weights.

Player and Nature, where at each stage both pick actions based on the contexts.