Angeliki Lazaridou

University of Athens, Greece

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Papers51 papers

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Emergent Multi-Agent Communication in the Deep Learning Era

Lazaridou Angeliki,Baroni Marco

Bibtex

Experience Grounds Language

Bisk Yonatan, Holtzman Ari,Thomason Jesse, Andreas Jacob,Bengio Yoshua,Chai Joyce,Lapata Mirella,Lazaridou Angeliki, May Jonathan, Nisnevich Aleksandr, Pinto Nicolas, Turian Joseph

EMNLP 2020, (2020)

Bibtex

Biases for Emergent Communication in Multi-agent Reinforcement Learning

Tom Eccles,Yoram Bachrach, Guy Lever,Angeliki Lazaridou,Thore Graepel

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 13111-13121

Cited by2EIBibtex

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

Natasha Jaques,Angeliki Lazaridou,Edward Hughes,Caglar Gulcehre,Pedro A. Ortega, Dj Strouse,Joel Z. Leibo,Nando de Freitas

arXiv: Learning, (2018)

Cited by39EIBibtex

Compositional Obverter Communication Learning From Raw Visual Input

Edward Choi,Angeliki Lazaridou,Nando de Freitas

ICLR, (2018)

Cited by30EIBibtex

Intrinsic Social Motivation via Causal Influence in Multi-Agent RL

Natasha Jaques,Angeliki Lazaridou, Edward Hughes,Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse,Joel Z. Leibo,Nando de Freitas

arXiv: Learning, (2018)

Cited by3EIBibtex

Emergent Communication through Negotiation

Kris Cao,Angeliki Lazaridou,Marc Lanctot, Joel Z. Leibo,Karl Tuyls,Stephen Clark

ICLR, (2018)

Cited by62EIBibtex

Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input

Angeliki Lazaridou,Karl Moritz Hermann,Karl Tuyls,Stephen Clark

ICLR, (2018)

Cited by80EIBibtex

Multimodal Word Meaning Induction From Minimal Exposure to Natural Text

Angeliki Lazaridou,Marco Marelli,Marco Baroni

Cognitive science, (2017): 677-705

Cited by11WOSBibtex

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

Marc Lanctot, Vinícius Flores Zambaldi, Audrunas Gruslys,Angeliki Lazaridou,Karl Tuyls,Julien Pérolat,David Silver,Thore Graepel

neural information processing systems, (2017): 4193-4206

Cited by222EIBibtex

CommAI: Evaluating the first steps towards a useful general AI

Marco Baroni,Armand Joulin,Allan Jabri,Germán Kruszewski,Angeliki Lazaridou, Klemen Simonic,Tomas Mikolov

ICLR, (2017)

Cited by12EIBibtex

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

Marc Lanctot, Vinicius Zambaldi, Audrunas Gruslys,Angeliki Lazaridou,Karl Tuyls,Julien Perolat,David Silver,Thore Graepel

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), (2017)

Bibtex

The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations

Nikita Nangia,Adina Williams,Angeliki Lazaridou,Samuel R. Bowman

RepEval@EMNLP, (2017): 1-10

Cited by17EIBibtex

Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP

Samuel R. Bowman,Yoav Goldberg,Felix Hill,Angeliki Lazaridou,Omer Levy,Roi Reichart,Anders Søgaard

RepEval@EMNLP, (2017)

EIBibtex

Multi-Agent Cooperation and the Emergence of (Natural) Language

Angeliki Lazaridou,Alexander Peysakhovich,Marco Baroni

ICLR, (2017)

Cited by216EIBibtex

The red one!: On learning to refer to things based on discriminative properties

Angeliki Lazaridou,Marco Baroni

meeting of the association for computational linguistics, pp.213-218, (2016)

Cited by5Bibtex

Towards Multi-Agent Communication-Based Language Learning

Angeliki Lazaridou,Nghia The Pham,Marco Baroni

arXiv: Computation and Language, (2016)

Cited by11EIBibtex

The red one!: On learning to refer to things based on discriminative properties

Angeliki Lazaridou,Nghia The Pham,Marco Baroni

CoRR, (2016)

Cited by8EIBibtex

The red one!: On learning to refer to things based on their discriminative properties

Angeliki Lazaridou,Nghia The Pham,Marco Baroni

Cited by2Bibtex

Multimodal Semantic Learning from Child-Directed Input

Angeliki Lazaridou,Grzegorz Chrupala,Raquel Fernández,Marco Baroni

HLT-NAACL, pp.387-392, (2016)

Cited by13EIBibtex

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