19 citations · 39 across the 12 of their papers we have counts for
4 papers · 1 filter
The Dreaming Variational Autoencoder for Reinforcement Learning Environments
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Reinforcement learning has shown great potential in generalizing over raw sensory data using only a single neural network for value optimization. There are several challenges in th…
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Reinforcement learning (RL) is an area of research that has blossomed tremendously in recent years and has shown remarkable potential for artificial intelligence based opponents in…
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Per-Arne Andersen
Reinforcement Learning (RL) is a research area that has blossomed tremendously in recent years and has shown remarkable potential for artificial intelligence based opponents in com…
FlashRL: A Reinforcement Learning Platform for Flash Games
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Reinforcement Learning (RL) is a research area that has blossomed tremendously in recent years and has shown remarkable potential in among others successfully playing computer game…