48 citations · 48 across the 1 of their papers we have counts for
3 papers
cs.LG2020
Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks
Joseph Suarez, Yilun Du, Igor Mordatch +1
Progress in multiagent intelligence research is fundamentally limited by the number and quality of environments available for study. In recent years, simulated games have become a…
cs.MA2019★ 48 cited
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents
Joseph Suarez, Yilun Du, Phillip Isola +1
The emergence of complex life on Earth is often attributed to the arms race that ensued from a huge number of organisms all competing for finite resources. We present an artificial…
cs.LG2019
Implicit Generation and Generalization in Energy-Based Models
Yilun Du, Igor Mordatch
Energy based models (EBMs) are appealing due to their generality and simplicity in likelihood modeling, but have been traditionally difficult to train. We present techniques to sca…