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08/05/2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
Reinforcement learning agents must generalize beyond their training expe...
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04/18/2022
Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport
Recent advances in deep learning, such as powerful generative models and...
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04/13/2022
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention
Modularity in robotics holds great potential. In principle, modular robo...
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02/10/2022
EvoJAX: Hardware-Accelerated Neuroevolution
Evolutionary computation has been shown to be a highly effective method ...
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11/29/2021
Collective Intelligence for Deep Learning: A Survey of Recent Developments
In the past decade, we have witnessed the rise of deep learning to domin...
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11/19/2021
Sketch-based Creativity Support Tools using Deep Learning
Sketching is a natural and effective visual communication medium commonl...
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09/18/2021
Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts
Evolutionary algorithms have been used in the digital art scene since th...
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09/07/2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
In complex systems, we often observe complex global behavior emerge from...
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05/15/2020
Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error
Methods for dynamic difficulty adjustment allow games to be tailored to ...
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05/12/2020
Scones: Towards Conversational Authoring of Sketches
Iteratively refining and critiquing sketches are crucial steps to develo...
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03/18/2020
Neuroevolution of Self-Interpretable Agents
Inattentional blindness is the psychological phenomenon that causes one ...
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12/25/2019
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
Deep networks have achieved excellent results in perceptual tasks, yet t...
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10/29/2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
Much of model-based reinforcement learning involves learning a model of ...
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06/11/2019
Weight Agnostic Neural Networks
Not all neural network architectures are created equal, some perform muc...
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04/04/2019
A Learned Representation for Scalable Vector Graphics
Dramatic advances in generative models have resulted in near photographi...
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12/03/2018
Deep Learning for Classical Japanese Literature
Much of machine learning research focuses on producing models which perf...
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11/12/2018
Learning Latent Dynamics for Planning from Pixels
Planning has been very successful for control tasks with known environme...
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10/09/2018
Reinforcement Learning for Improving Agent Design
In many reinforcement learning tasks, the goal is to learn a policy to m...
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09/19/2018
Pommerman: A Multi-Agent Playground
We present Pommerman, a multi-agent environment based on the classic con...
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09/04/2018
Recurrent World Models Facilitate Policy Evolution
A generative recurrent neural network is quickly trained in an unsupervi...
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03/27/2018
World Models
We explore building generative neural network models of popular reinforc...
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02/13/2018
Learning via social awareness: improving sketch representations with facial feedback
In the quest towards general artificial intelligence (AI), researchers h...
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04/11/2017
A Neural Representation of Sketch Drawings
We present sketch-rnn, a recurrent neural network (RNN) able to construc...
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01/30/2017
