Ioannis Antonoglou

Show Academic Trajectory

Ego Network

D-Core

Research Interests

Author Statistics

Experience

Education

Bio

None

Papers14 papers

Sort

By YearBy Citation

Monte-Carlo Tree Search as Regularized Policy Optimization

Jean-Bastien Grill, Florent Altché,Yunhao Tang, Thomas Hubert,Michal Valko,Ioannis Antonoglou,Remi Munos

ICML, pp.3769-3778, (2020)

Cited by1EIBibtex

Causally Correct Partial Models for Reinforcement Learning

Rezende Danilo J.,Danihelka Ivo, Papamakarios George, Ke Nan Rosemary, Jiang Ray,Weber Theophane,Gregor Karol, Merzic Hamza,Viola Fabio, Wang Jane, Mitrovic Jovana, Besse Frederic

Cited by2Bibtex

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

Schrittwieser Julian,Antonoglou Ioannis, Hubert Thomas,Simonyan Karen,Sifre Laurent, Schmitt Simon,Guez Arthur,Lockhart Edward,Hassabis Demis,Graepel Thore,Lillicrap Timothy,Silver David

Nature, no. 7839 (2019): 604-609

Cited by106WOSBibtex

Bayesian Optimization in AlphaGo

Yutian Chen,Aja Huang,Ziyu Wang,Ioannis Antonoglou, Julian Schrittwieser,David Silver,Nando de Freitas

arXiv: Learning, (2018)

Cited by31EIBibtex

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

David Silver, Thomas Hubert, Julian Schrittwieser,Ioannis Antonoglou, Matthew Lai,Arthur Guez,Marc Lanctot,Laurent Sifre,Dharshan Kumaran,Thore Graepel,Timothy Lillicrap,Karen Simonyan

Science (New York, N.Y.), no. 6419 (2018): 1140-1144

Cited by896WOSBibtex

Learning to Search with MCTSnets

Arthur Guez,Théophane Weber,Ioannis Antonoglou,Karen Simonyan,Oriol Vinyals,Daan Wierstra,Rémi Munos,David Silver

ICML, (2018): 1817-1826

Cited by38EIBibtex

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

David Silver, Thomas Hubert, Julian Schrittwieser,Ioannis Antonoglou, Matthew Lai,Arthur Guez,Marc Lanctot,Laurent Sifre,Dharshan Kumaran,Thore Graepel,Timothy P. Lillicrap,Karen Simonyan

arXiv: Artificial Intelligence, (2017)

Cited by779EIBibtex

Mastering the game of Go without human knowledge

David Silver, Julian Schrittwieser,Karen Simonyan,Ioannis Antonoglou,Aja Huang,Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton,Yutian Chen,Timothy Lillicrap

Nat., no. 7676 (2017): 354-359

Cited by4287WOSEIBibtex

A Test of Relative Similarity For Model Selection in Generative Models

Wacha Bounliphone,Eugene Belilovsky,Matthew B. Blaschko,Ioannis Antonoglou,Arthur Gretton

international conference on learning representations, (2016)

Cited by17EIBibtex

Fast Non-Parametric Tests of Relative Dependency and Similarity

Wacha Bounliphone,Eugene Belilovsky,Arthur Tenenhaus,Ioannis Antonoglou,Arthur Gretton,Matthew B. Blaschko

arXiv: Artificial Intelligence, (2016)

EIBibtex

Mastering the game of Go with deep neural networks and tree search

David Silver,Aja Huang,Chris J Maddison,Arthur Guez,Laurent Sifre, George van den Driessche, Julian Schrittwieser,Ioannis Antonoglou, Veda Panneershelvam,Marc Lanctot,Sander Dieleman, Dominik Grewe

Nature, no. 7587 (2016): 484-489

Cited by8666WOSNATUREEIBibtex

Prioritized Experience Replay

Tom Schaul, John Quan,Ioannis Antonoglou,David Silver

CoRR, (2015)

Cited by1289EIBibtex

Unit Tests for Stochastic Optimization

Tom Schaul,Ioannis Antonoglou,David Silver

international conference on learning representations, (2013)

Cited by45EIBibtex

Playing Atari with Deep Reinforcement Learning

Volodymyr Mnih,Koray Kavukcuoglu,David Silver,Alex Graves,Ioannis Antonoglou,Daan Wierstra,Martin Riedmiller

CoRR, (2013)

Cited by4887EIBibtex

View All

Base Info Papers Patents Projects