28 citations · 82 across the 6 of their papers we have counts for
Showing cs.NEShow all
3 papers · 1 filter
cs.NE2022★ 19 cited
EvoJAX: Hardware-Accelerated Neuroevolution
Yujin Tang, Yingtao Tian, David Ha
Evolutionary computation has been shown to be a highly effective method for training neural networks, particularly when employed at scale on CPU clusters. Recent work have also sho…
cs.NE2020
Neuroevolution of Self-Interpretable Agents
Yujin Tang, Duong Nguyen, David Ha
Inattentional blindness is the psychological phenomenon that causes one to miss things in plain sight. It is a consequence of the selective attention in perception that lets us rem…
cs.NE2019★ 9 cited
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
C. Daniel Freeman, Luke Metz, David Ha
Much of model-based reinforcement learning involves learning a model of an agent's world, and training an agent to leverage this model to perform a task more efficiently. While the…