What great timing! I just posted this (https://groups.google.com/forum/?hl=en#!topic/julia-users/Up2STYjtwdE), and I was going to start work on it myself since no one responded. Thanks! I'll check it out.
On Thursday, December 10, 2015 at 6:07:30 PM UTC-5, Sebastian Nowozin wrote: > > > Hi, > > the arcade learning environment (ALE), > http://www.arcadelearningenvironment.org/, is a modified Atari 2600 > emulator that provides additional in-game information (such as scores and > game-over states) for around 50 classic Atari 2600 games. > It is a popular environment for testing artificial intelligence agents and > for reinforcement learning methods. > > The ArcadeLearningEnvironment.jl package is a thin wrapper around ALE and > exposes all functionality. > It is based on the same underlying C library used by the Python wrapper. > > It is available here: > https://github.com/nowozin/ArcadeLearningEnvironment.jl > I only tested the package on Linux (where it downloads and builds the ALE > libraries), but on other architectures you need to manually provide the > libale_c.dll or libale_c.so file. > > To use the package you need to obtain Atari 2600 ROM files supported by > ALE, a list of these is available at the ALE homepage. > > Any feedback is welcome. > > Sebastian >
