92 citations · 302 across the 14 of their papers we have counts for
15 papers
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
Aleksandar Stanić, Yujin Tang, David Ha +1
Reinforcement learning agents must generalize beyond their training experience. Prior work has focused mostly on identical training and evaluation environments. Starting from the r…
Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport
Yingtao Tian, Marco Cuturi, David Ha
Recent advances in deep learning, such as powerful generative models and joint text-image embeddings, have provided the computational creativity community with new tools, opening n…
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention
Federico Pigozzi, Yujin Tang, Eric Medvet +1
Modularity in robotics holds great potential. In principle, modular robots can be disassembled and reassembled in different robots, and possibly perform new tasks. Nevertheless, ac…
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…
Sketch-based Creativity Support Tools using Deep Learning
Forrest Huang, Eldon Schoop, David Ha +2
Sketching is a natural and effective visual communication medium commonly used in creative processes. Recent developments in deep-learning models drastically improved machines' abi…
Visual Intelligence through Human Interaction
Ranjay Krishna, Mitchell Gordon, Li Fei-Fei +1
Over the last decade, Computer Vision, the branch of Artificial Intelligence aimed at understanding the visual world, has evolved from simply recognizing objects in images to descr…