Bootstrapping Conditional GANs for Video Game Level Generation

no code implementations • 3 Oct 2019 • Ruben Rodriguez Torrado, Ahmed Khalifa, Michael Cerny Green, Niels Justesen, Sebastian Risi, Julian Togelius

Theresults demonstrate that the new approach does not only gen-erate a larger number of levels that are playable but also gen-erates fewer duplicate levels compared to a standard GAN.

Image Generation

Evolving Agents for the Hanabi 2018 CIG Competition

no code implementations • 26 Sep 2018 • Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado, Julian Togelius, Andy Nealen, Stefan Menzel

Hanabi is a cooperative card game with hidden information that has won important awards in the industry and received some recent academic attention.

Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation

1 code implementation • 28 Jun 2018 • Niels Justesen, Ruben Rodriguez Torrado, Philip Bontrager, Ahmed Khalifa, Julian Togelius, Sebastian Risi

However, when neural networks are trained in a fixed environment, such as a single level in a video game, they will usually overfit and fail to generalize to new levels.

Clustering Dimensionality Reduction +2

Deep Reinforcement Learning for General Video Game AI

2 code implementations • 6 Jun 2018 • Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Perez-Liebana

In this paper, we describe how we interface GVGAI to the OpenAI Gym environment, a widely used way of connecting agents to reinforcement learning problems.

Atari Games Benchmarking +3