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Jakob N. Foerster

University of Oxford

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Publication

Featured researches published by Jakob N. Foerster.

neural information processing systems | 2016

Learning to Communicate with Deep Multi−Agent Reinforcement Learning

Jakob N. Foerster; Yannis M. Assael; Nando de Freitas; Shimon Whiteson

international conference on machine learning | 2017

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Jakob N. Foerster; Nantas Nardelli; Gregory Farquhar; Triantafyllos Afouras; Philip H. S. Torr; Pushmeet Kohli; Shimon Whiteson

national conference on artificial intelligence | 2018

Counterfactual Multi-Agent Policy Gradients

Jakob N. Foerster; Gregory Farquhar; Triantafyllos Afouras; Nantas Nardelli; Shimon Whiteson

arXiv: Artificial Intelligence | 2016

Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q−Networks

Jakob N. Foerster; Yannis M. Assael; Nando de Freitas; Shimon Whiteson

adaptive agents and multi-agents systems | 2018

Learning with Opponent-Learning Awareness

Jakob N. Foerster; Richard Y. Chen; Maruan Al-Shedivat; Shimon Whiteson; Pieter Abbeel; Igor Mordatch

international conference on machine learning | 2017

Input Switched Affine Networks: An RNN Architecture Designed for Interpretability

Jakob N. Foerster; Justin Gilmer; Jascha Sohl-Dickstein; Jan Chorowski; David Sussillo

international conference on machine learning | 2018

The Mechanics of n-Player Differentiable Games

David Balduzzi; Sébastien Racanière; James Martens; Jakob N. Foerster; Karl Tuyls; Thore Graepel

international conference on machine learning | 2018

DiCE: The Infinitely Differentiable Monte Carlo Estimator

Jakob N. Foerster; Gregory Farquhar; Maruan Al-Shedivat; Tim Rocktäschel; Eric P. Xing; Shimon Whiteson

international conference on machine learning | 2018

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Tabish Rashid; Mikayel Samvelyan; Christian Schroeder; Gregory Farquhar; Jakob N. Foerster; Shimon Whiteson

arXiv: Multiagent Systems | 2018

Multi-Agent Common Knowledge Reinforcement Learning.

Jakob N. Foerster; Christian A. Schroeder de Witt; Gregory Farquhar; Philip H. S. Torr; Wendelin Boehmer; Shimon Whiteson

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Shimon Whiteson

University of Oxford

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Gregory Farquhar

University of Oxford

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David Sussillo

Google

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Jascha Sohl-Dickstein

Google

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Justin Gilmer

Google

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Maruan Al-Shedivat

Carnegie Mellon University

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Nando de Freitas

Google

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Nantas Nardelli

University of Oxford

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Philip H. S. Torr

University of Oxford

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Yannis M. Assael

University of Oxford

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