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Computer Science

D-Index
64
Citations
16571
World Ranking
2600
National Ranking
152

Overview

Shimon Whiteson is affiliated with the University of Oxford in the United Kingdom and has contributed extensively to the field of computer science, with a primary focus on artificial intelligence and reinforcement learning. Their research encompasses a wide range of topics, including reinforcement learning in robotics, adversarial robustness in machine learning, autonomous vehicle technology and safety, advanced bandit algorithms research, model reduction and neural networks, data stream mining techniques, and machine learning and data classification.

The scientist's publication record includes numerous papers primarily published on the arXiv platform managed by Cornell University. Among the recent papers are:

  • Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning, 2020, arXiv (Cornell University)
  • Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?, 2020, arXiv (Cornell University)
  • Weighted QMIX: Expanding monotonic value function factorisation for deep multi-agent reinforcement learning, 2020, arXiv (Cornell University)
  • FACMAC: Factored Multi-Agent Centralised Policy Gradients, 2020, arXiv (Cornell University)
  • RODE: Learning Roles to Decompose Multi-Agent Tasks, 2020, arXiv (Cornell University)

Shimon Whiteson frequently collaborates with a set of co-authors who have contributed to multiple publications, which include Jakob Foerster, Maximilian Igl, Anuj Mahajan, Risto Vuorio, and Shangtong Zhang. Their combined work has focused largely on advancing multi-agent reinforcement learning methods and their applications.

Frequent publication venues for this scientist reflect a concentration in open-access and specialized conferences, including:

  • arXiv (Cornell University)
  • Autonomous Agents and Multi-Agent Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • 2022 International Conference on Robotics and Automation (ICRA)

Their research spans core subfields of computer science such as artificial intelligence, automotive engineering, computational theory and mathematics, management science and operations research, and cognitive neuroscience. The work of Shimon Whiteson contributes to understanding and developing computational techniques applicable to real-world problems involving autonomous systems, robotics, and robust machine learning frameworks.

Best Publications

  • Counterfactual Multi-Agent Policy Gradients

    Jakob Foerster;Gregory Farquhar;Triantafyllos Afouras;Nantas Nardelli

  • Learning to Communicate with Deep Multi-Agent Reinforcement Learning

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

  • Learning to Communicate with Deep Multi−Agent Reinforcement Learning

    Jakob Foerster;Ioannis Alexandros Assael;Nando de Freitas;Shimon Whiteson

  • Counterfactual Multi−Agent Policy Gradients

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

  • A survey of multi-objective sequential decision-making

    Diederik M. Roijers;Peter Vamplew;Shimon Whiteson;Richard Dazeley

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

    Tabish Rashid;Mikayel Samvelyan;Christian Schroeder;Gregory Farquhar

  • Stabilising experience replay for deep multi-agent reinforcement learning

    Jakob Foerster;Nantas Nardelli;Gregory Farquhar;Triantafyllos Afouras

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

    Tabish Rashid;Mikayel Samvelyan;Christian Schroeder de Witt;Gregory Farquhar

  • Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

    Tabish Rashid;Mikayel Samvelyan;Christian Schröder de Witt;Gregory Farquhar

  • Evolutionary Function Approximation for Reinforcement Learning

    Shimon Whiteson;Peter Stone

  • Learning with Opponent-Learning Awareness

    Jakob Foerster;Richard Y. Chen;Maruan Al-Shedivat;Shimon Whiteson

  • Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs

    Lior Kuyer;Shimon Whiteson;Bram Bakker;Nikos Vlassis

  • LipNet: End-to-End Sentence-level Lipreading

    Yannis M. Assael;Brendan Shillingford;Shimon Whiteson;Nando de Freitas

  • A theoretical and empirical analysis of Expected Sarsa

    Harm van Seijen;Hado van Hasselt;Shimon Whiteson;Marco Wiering

  • Fast Context Adaptation via Meta-Learning

    Luisa Zintgraf;Kyriacos Shiarli;Vitaly Kurin;Katja Hofmann

  • The StarCraft Multi-Agent Challenge

    Mikayel Samvelyan;Tabish Rashid;Christian Schroeder de Witt;Gregory Farquhar

  • A Survey of Reinforcement Learning Informed by Natural Language

    Jelena Luketina;Nantas Nardelli;Nantas Nardelli;Gregory Farquhar;Gregory Farquhar;Jakob N. Foerster

  • Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

    Christian Schroeder de Witt;Tarun Gupta;Denys Makoviichuk;Viktor Makoviychuk

  • Deep Variational Reinforcement Learning for POMDPs

    Maximilian Igl;Luisa M. Zintgraf;Tuan Anh Le;Frank Wood

  • LipNet: Sentence-level Lipreading.

    Yannis M. Assael;Brendan Shillingford;Shimon Whiteson;Nando de Freitas

  • VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

    Luisa Zintgraf;Kyriacos Shiarlis;Maximilian Igl;Sebastian Schulze

  • MAVEN: Multi−Agent Variational Exploration

    Anuj Mahajan;Tabish Rashid;Mikayel Samvelyan;Shimon Whiteson

Frequent Co-Authors

Jakob Foerster
Jakob Foerster University of Oxford
Maarten de Rijke
Maarten de Rijke University of Amsterdam
Peter Stone
Peter Stone The University of Texas at Austin
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Tim Rocktäschel
Tim Rocktäschel University College London
Nando de Freitas
Nando de Freitas DeepMind (United Kingdom)
Edward Grefenstette
Edward Grefenstette University College London
Risto Miikkulainen
Risto Miikkulainen The University of Texas at Austin
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Rémi Munos
Rémi Munos French Institute for Research in Computer Science and Automation - INRIA

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