58 citations · 170 across the 17 of their papers we have counts for
16 papers · 1 filter
EvoCraft: A New Challenge for Open-Endedness
Djordje Grbic, Rasmus Berg Palm, Elias Najarro +2
This paper introduces EvoCraft, a framework for Minecraft designed to study open-ended algorithms. We introduce an API that provides an open-source Python interface for communicati…
Evolutionary Planning in Latent Space
Thor V. A. N. Olesen, Dennis T. T. Nguyen, Rasmus Berg Palm +1
Planning is a powerful approach to reinforcement learning with several desirable properties. However, it requires a model of the world, which is not readily available in many real-…
Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning
Rasmus Berg Palm, Elias Najarro, Sebastian Risi
Hebbian meta-learning has recently shown promise to solve hard reinforcement learning problems, allowing agents to adapt to some degree to changes in the environment. However, beca…
Deep Learning for Procedural Content Generation
Jialin Liu, Sam Snodgrass, Ahmed Khalifa +3
Procedural content generation in video games has a long history. Existing procedural content generation methods, such as search-based, solver-based, rule-based and grammar-based me…
The power of pictures: using ML assisted image generation to engage the crowd in complex socioscientific problems
Janet Rafner, Lotte Philipsen, Sebastian Risi +2
Human-computer image generation using Generative Adversarial Networks (GANs) is becoming a well-established methodology for casual entertainment and open artistic exploration. Here…
AI and Wargaming
James Goodman, Sebastian Risi, Simon Lucas
Recent progress in Game AI has demonstrated that given enough data from human gameplay, or experience gained via simulations, machines can rival or surpass the most skilled human p…