research
∙
05/25/2023
Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning
A successful tactic that is followed by the scientific community for adv...
share
research
∙
11/04/2021
CoreLM: Coreference-aware Language Model Fine-Tuning
Language Models are the underpin of all modern Natural Language Processi...
research
∙
10/11/2021
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents
Deep Reinforcement Learning (Deep RL) has been in the spotlight for the ...
research
∙
11/10/2020
E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks
In the last decade, the field of Neural Language Modelling has witnessed...
research
∙
03/22/2020
Multi-target regression via output space quantization
Multi-target regression is concerned with the prediction of multiple con...
research
∙
10/21/2019
A Neural Entity Coreference Resolution Review
Entity Coreference Resolution is the task of resolving all the mentions ...
research
∙
07/28/2017
Learning to Teach Reinforcement Learning Agents
In this article we study the transfer learning model of action advice un...
research
∙
04/18/2017
Large-Scale Online Semantic Indexing of Biomedical Articles via an Ensemble of Multi-Label Classification Models
Background: In this paper we present the approaches and methods employed...
research
∙
10/21/2014