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Christian Schroeder de Witt

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Simulation-Based Inference for Global Health Decisions

May 14, 2020
Christian Schroeder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Rob Zinkov, Puneet Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip Torr, Atılım Güneş Baydin

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Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Mar 19, 2020
Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt, Gregory Farquhar, Jakob Foerster, Shimon Whiteson

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Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control

Mar 18, 2020
Christian Schroeder de Witt, Bei Peng, Pierre-Alexandre Kamienny, Philip Torr, Wendelin Böhmer, Shimon Whiteson

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Amortized Rejection Sampling in Universal Probabilistic Programming

Nov 30, 2019
Saeid Naderiparizi, Adam Ścibior, Andreas Munk, Mehrdad Ghadiri, Atılım Güneş Baydin, Bradley Gram-Hansen, Christian Schroeder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood

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Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem

May 17, 2019
Christian Schroeder de Witt, Thomas Hornigold

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The StarCraft Multi-Agent Challenge

Feb 26, 2019
Mikayel Samvelyan, Tabish Rashid, Christian Schroeder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob Foerster, Shimon Whiteson

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

Jun 06, 2018
Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt, Gregory Farquhar, Jakob Foerster, Shimon Whiteson

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