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Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games
RoxanaRădulescu, TimothyVerstraeten, YijieZhang....
Published date-11/14/2020
Many real-world multi-agent interactions consider multiple distinct criteria, i.e. the payoffs are multi-objective in nature. However, the same multi-objective payoff vector may lead to different utilities for each participant. Therefore, …
CL-IMS @ DIACR-Ita: Volente o Nolente: BERT does not outperform SGNS on Semantic Change Detection
SeverinLaicher, GioiaBaldissin, EnriqueCastañeda....
Published date-11/14/2020
We present the results of our participation in the DIACR-Ita shared task on lexical semantic change detection for Italian. We exploit Average Pairwise Distance of token-based BERT embeddings between time …
Sentiment Analysis for Sinhala Language using Deep Learning Techniques
LahiruSenevirathne, PiyumalDemotte, BinodKarunanayake....
Published date-11/14/2020
SentimentAnalysis
Due to the high impact of the fast-evolving fields of machine learning and deep learning, Natural Language Processing (NLP) tasks have further obtained comprehensive performances for highly resourced languages such …
Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection
MdTahmidRahmanLaskar, EnamulHoque, JimmyXiangjiHuang....
Published date-11/14/2020
AnswerSelection, CommunityQuestionAnswering, LanguageModelling, QuestionAnswering
Pre-training a transformer-based model for the language modeling task in a large dataset and then fine-tuning it for downstream tasks has been found very useful in recent years. One major …
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
XingyuLin, YuFeiWang, JakeOlkin....
Published date-11/14/2020
DeformableObjectManipulation, OpenAIGym
Manipulating deformable objects has long been a challenge in robotics due to its high dimensional state representation and complex dynamics. Recent success in deep reinforcement learning provides a promising direction …
Solving Physics Puzzles by Reasoning about Paths
AugustinHarter, AndrewMelnik, GauravKumar....
Published date-11/14/2020
We propose a new deep learning model for goal-driven tasks that require intuitive physical reasoning and intervention in the scene to achieve a desired end goal. Its modular structure is …