Q-обучение

We use single-agent and multi-agent Rein- forcement Learning (RL) for learning dia- logue policies in a resource allocation ne- gotiation scenario. Two agents learn con- currently by interacting with each …...

AbstractCo-training is a popular semi-supervised learning framework to utilize a large amount of unlabeled data in addition to a small labeled set. Co-training methods exploit predicted labels on the unlabeled …...

AbstractWe show that Reinforcement Learning (RL) methods for solving Text-Based Games (TBGs) often fail to generalize on unseen games, especially in small data regimes. To address this issue, we propose …...