activity
20182022
most citedIs Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

185 citations · 216 across the 9 of their papers we have counts for

collaborators

12 papers

cs.NE2022

Biological Evolution and Genetic Algorithms: Exploring the Space of Abstract Tile Self-Assembly

Christian Schroeder de Witt

A physically-motivated genetic algorithm (GA) and full enumeration for a tile-based model of self-assembly (JaTAM) is implemented using a graphics processing unit (GPU). We observe…

cs.CY2022

(Private)-Retroactive Carbon Pricing [(P)ReCaP]: A Market-based Approach for Climate Finance and Risk Assessment

Yoshua Bengio, Prateek Gupta, Dylan Radovic +5

Insufficient Social Cost of Carbon (SCC) estimation methods and short-term decision-making horizons have hindered the ability of carbon emitters to properly correct for the negativ…

cs.AI2021

A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable Settings

Eltayeb Ahmed, Luisa Zintgraf, Christian A. Schroeder de Witt +1

In this work we explore an auxiliary loss useful for reinforcement learning in environments where strong performing agents are required to be able to navigate a spatial environment…

cs.LG20205 cited

RainBench: Towards Global Precipitation Forecasting from Satellite Imagery

Christian Schroeder de Witt, Catherine Tong, Valentina Zantedeschi +5

Extreme precipitation events, such as violent rainfall and hail storms, routinely ravage economies and livelihoods around the developing world. Climate change further aggravates th…

cs.AI2020185 cited

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

Christian Schroeder de Witt, Tarun Gupta, Denys Makoviichuk +4

Most recently developed approaches to cooperative multi-agent reinforcement learning in the \emph{centralized training with decentralized execution} setting involve estimating a ce…

cs.LG2020

Simulation-Based Inference for Global Health Decisions

Christian Schroeder de Witt, Bradley Gram-Hansen, Nantas Nardelli +8

The COVID-19 pandemic has highlighted the importance of in-silico epidemiological modelling in predicting the dynamics of infectious diseases to inform health policy and decision m…