Sebastian Risi

research

∙ 07/17/2023

Towards Self-Assembling Artificial Neural Networks through Neural Developmental Programs

Biological nervous systems are created in a fundamentally different way ...

0 Elias Najarro, et al. ∙

research

∙ 07/07/2023

CLIPMasterPrints: Fooling Contrastive Language-Image Pre-training Using Latent Variable Evolution

Models leveraging both visual and textual data such as Contrastive Langu...

0 Matthias Freiberger, et al. ∙

research

∙ 05/25/2023

Learning to Act through Evolution of Neural Diversity in Random Neural Networks

Biological nervous systems consist of networks of diverse, sophisticated...

0 Joachim Winther Pedersen, et al. ∙

research

∙ 02/12/2023

MarioGPT: Open-Ended Text2Level Generation through Large Language Models

Procedural Content Generation (PCG) algorithms provide a technique to ge...

13 Shyam Sudhakaran, et al. ∙

research

∙ 01/31/2023

Skill Decision Transformer

Recent work has shown that Large Language Models (LLMs) can be incredibl...

5 Shyam Sudhakaran, et al. ∙

research

∙ 06/14/2022

Severe Damage Recovery in Evolving Soft Robots through Differentiable Programming

Biological systems are very robust to morphological damage, but artifici...

2 Kazuya Horibe, et al. ∙

research

∙ 05/31/2022

Mario Plays on a Manifold: Generating Functional Content in Latent Space through Differential Geometry

Deep generative models can automatically create content of diverse types...

0 Miguel Gonzalez Duque, et al. ∙

research

∙ 05/12/2022

Minimal Neural Network Models for Permutation Invariant Agents

Organisms in nature have evolved to exhibit flexibility in face of chang...

10 Joachim Winther Pedersen, et al. ∙

research

∙ 04/25/2022

Goal-Guided Neural Cellular Automata: Learning to Control Self-Organising Systems

Inspired by cellular growth and self-organization, Neural Cellular Autom...

0 Shyam Sudhakaran, et al. ∙

research

∙ 04/25/2022

HyperNCA: Growing Developmental Networks with Neural Cellular Automata

In contrast to deep reinforcement learning agents, biological neural net...

12 Elias Najarro, et al. ∙

research

∙ 03/22/2022

A Unified Substrate for Body-Brain Co-evolution

The discovery of complex multicellular organism development took million...

6 Sidney Pontes-Filho, et al. ∙

research

∙ 03/14/2022

Physical Neural Cellular Automata for 2D Shape Classification

Materials with the ability to self-classify their own shape have the pot...

0 Kathryn Walker, et al. ∙

research

∙ 01/28/2022

Variational Neural Cellular Automata

In nature, the process of cellular growth and differentiation has lead t...

8 Rasmus Berg Palm, et al. ∙

research

∙ 07/14/2021

Safer Reinforcement Learning through Transferable Instinct Networks

Random exploration is one of the main mechanisms through which reinforce...

0 Djordje Grbic, et al. ∙

research

∙ 07/05/2021

Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning

Applying neural network (NN) methods in games can lead to various new an...

0 Mathias Löwe, et al. ∙

research

∙ 05/27/2021

Hybrid Encoding For Generating Large Scale Game Level Patterns With Local Variations Using a GAN

Generative Adversarial Networks (GANs) are a powerful indirect genotype-...

6 Jacob Schrum, et al. ∙

research

∙ 05/18/2021

Fast Game Content Adaptation Through Bayesian-based Player Modelling

In games, as well as many user-facing systems, adapting content to users...

0 Miguel Gonzalez Duque, et al. ∙

research

∙ 04/16/2021

Evolving and Merging Hebbian Learning Rules: Increasing Generalization by Decreasing the Number of Rules

Generalization to out-of-distribution (OOD) circumstances after training...

0 Joachim Winther Pedersen, et al. ∙

research

∙ 03/29/2021

Rapid Risk Minimization with Bayesian Models Through Deep Learning Approximation

In this paper, we introduce a novel combination of Bayesian Models (BMs)...

0 Mathias Löwe, et al. ∙

research

∙ 03/15/2021

Growing 3D Artefacts and Functional Machines with Neural Cellular Automata

Neural Cellular Automata (NCAs) have been proven effective in simulating...

9 Shyam Sudhakaran, et al. ∙

research

∙ 02/12/2021

Improving Object Detection in Art Images Using Only Style Transfer

Despite recent advances in object detection using deep learning neural n...

0 David Kadish, et al. ∙

research

∙ 02/04/2021

Regenerating Soft Robots through Neural Cellular Automata

Morphological regeneration is an important feature that highlights the e...

13 Kazuya Horibe, et al. ∙

research

∙ 01/15/2021

Player-AI Interaction: What Neural Network Games Reveal About AI as Play

The advent of artificial intelligence (AI) and machine learning (ML) bri...

20 Jichen Zhu, et al. ∙

research

∙ 12/08/2020

EvoCraft: A New Challenge for Open-Endedness

This paper introduces EvoCraft, a framework for Minecraft designed to st...

0 Djordje Grbic, et al. ∙

research

∙ 11/23/2020

Evolutionary Planning in Latent Space

Planning is a powerful approach to reinforcement learning with several d...

0 Thor V. A. N. Olesen, et al. ∙

research

∙ 11/13/2020

Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning

Recent work has shown promising results using Hebbian meta-learning to s...

0 Rasmus Berg Palm, et al. ∙

research

∙ 10/15/2020

The power of pictures: using ML assisted image generation to engage the crowd in complex socioscientific problems

Human-computer image generation using Generative Adversarial Networks (G...

0 Janet Rafner, et al. ∙

research

∙ 10/09/2020

Deep Learning for Procedural Content Generation

Procedural content generation in video games has a long history. Existin...

28 Jialin Liu, et al. ∙

research

∙ 09/18/2020

AI and Wargaming

Recent progress in Game AI has demonstrated that given enough data from ...

5 James Goodman, et al. ∙

research

∙ 08/13/2020

crea.blender: A Neural Network-Based Image Generation Game to Assess Creativity

We present a pilot study on crea.blender, a novel co-creative game desig...

0 Janet Rafner, et al. ∙

research

∙ 07/17/2020

iNNk: A Multi-Player Game to Deceive a Neural Network

This paper presents iNNK, a multiplayer drawing game where human players...

0 Jennifer Villareale, et al. ∙

research

∙ 07/06/2020

Meta-Learning through Hebbian Plasticity in Random Networks

Lifelong learning and adaptability are two defining aspects of biologica...

0 Elias Najarro, et al. ∙

research

∙ 05/26/2020

Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning

Recent procedural content generation via machine learning (PCGML) method...

90 Vanessa Volz, et al. ∙

research

∙ 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 ...

0 Miguel Gonzalez Duque, et al. ∙

research

∙ 05/06/2020

Safe Reinforcement Learning through Meta-learned Instincts

An important goal in reinforcement learning is to create agents that can...

0 Djordje Grbic, et al. ∙

research

∙ 04/03/2020

CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation

Generative Adversarial Networks (GANs) are proving to be a powerful indi...

0 Jacob Schrum, et al. ∙

research

∙ 03/31/2020

Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks

Generative Adversarial Networks (GANs) are an emerging form of indirect ...

0 Jacob Schrum, et al. ∙

research

∙ 02/24/2020

From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI

This paper reviews the field of Game AI, which not only deals with creat...

0 Sebastian Risi, et al. ∙

research

∙ 01/07/2020

Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples

AI algorithms are not immune to biases. Traditionally, non-experts have ...

69 Chelsea M. Myers, et al. ∙

research

∙ 12/29/2019

Improving Deep Neuroevolution via Deep Innovation Protection

Evolutionary-based optimization approaches have recently shown promising...

10 Sebastian Risi, et al. ∙

research

∙ 11/29/2019

Procedural Content Generation: From Automatically Generating Game Levels to Increasing Generality in Machine Learning

The idea behind procedural content generation (PCG) in games is to creat...

12 Sebastian Risi, et al. ∙

research

∙ 10/03/2019

Bootstrapping Conditional GANs for Video Game Level Generation

Generative Adversarial Networks (GANs) have shown im-pressive results fo...

21 Ruben Rodriguez Torrado, et al. ∙

research

∙ 07/30/2019

An artifcial life approach to studying niche differentiation in soundscape ecology

Artificial life simulations are an important tool in the study of ecolog...

1 David Kadish, et al. ∙

research

∙ 07/05/2019

Learning a Behavioral Repertoire from Demonstrations

Imitation Learning (IL) is a machine learning approach to learn a policy...

5 Niels Justesen, et al. ∙

research

∙ 04/28/2019

Deep Neuroevolution of Recurrent and Discrete World Models

Neural architectures inspired by our own human cognitive system, such as...

0 Sebastian Risi, et al. ∙

research

∙ 06/28/2018

Procedural Level Generation Improves Generality of Deep Reinforcement Learning

Over the last few years, deep reinforcement learning (RL) has shown impr...

4 Niels Justesen, et al. ∙

research

∙ 05/02/2018

Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network

Generative Adversarial Networks (GANs) are a machine learning approach c...

0 Vanessa Volz, et al. ∙

research

∙ 04/18/2018

A Robot to Shape your Natural Plant: The Machine Learning Approach to Model and Control Bio-Hybrid Systems

Bio-hybrid systems---close couplings of natural organisms with technolog...

0 Mostafa Wahby, et al. ∙

research

∙ 03/19/2018

Automated Curriculum Learning by Rewarding Temporally Rare Events

Reward shaping allows reinforcement learning (RL) agents to accelerate l...

0 Niels Justesen, et al. ∙

research

∙ 01/24/2018

Deep Interactive Evolution

This paper describes an approach that combines generative adversarial ne...

0 Philip Bontrager, et al. ∙

Sebastian Risi

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