A virtual environment in which spiking neural controllers achieve autonomous navigation through evolutionary algorithms and reinforcement learning. The original environment is described in [1], however some details, e.g. dimensions, are missing. The experiment conducted in [1] has been redone in the virtual environment. The resulting robot trajectories are slightly different than the original ones.

[1] Dario Floreano and Claudio Mattiussi. “Evolution of Spiking Neural Controllers for Autonomous Vision-Based robots.” In: Evolutionary Robotics. From intelligent robotics to artificial life. Springer, Tokyo, 2001.