RaCT
This repository implements Ranking-Critical Training (RaCT) for Collaborative Filtering, accepted in International Conference on Learning Representations (ICLR), 2020. By using an actor-critic architecture to fine-tune a differentiable collaborative filtering model, we can improve the performance…
BERT-nmt
BERT-fused NMT is a new algorithm in which we first use BERT to extract representations for an input sequence, and then the representations are fused with each layer of the encoder and decoder of the…
KG-A2C
KG-A2C is a reinforcement learning agent that builds a dynamic knowledge graph while exploring and generates natural language using a template-based action space – outperforming all current agents on a wide set of text-based games.