Machine learned ground coverage for virtual gaming environment

A non-transitory computer readable medium including at least computer program code tangibly stored thereon and executable by an electronic device to generate a virtual game world for a computer game played by at least one player via a player's game play electronic device, the computer readable medium comprising:

• computer program code for determining a portion of a map for the virtual game world that is to be rendered;
• computer program code for determining ground coverage for the at least a portion of the map;
• and
• computer program code for facilitating rendering of the portion of the map with the ground coverage on a display of the player's game play electronic device;
• wherein the computer program code for determining the ground coverage for the at least a portion of the map is constructed from a plurality of layers, and each of the layers produces attributes of the ground coverage for the at least a portion of the map using machine learning.

A non-transitory computer readable medium including at least computer program code tangibly stored thereon and executable by an electronic device to generate a virtual game world for a computer game played by at least one player via a player's game play electronic device, the computer readable medium comprising:

• computer program code for determining a portion of a map for the virtual game world that is to be rendered;
• computer program code for determining ground coverage for the at least a portion of the map;
• and
• computer program code for facilitating rendering of the portion of the map with the ground coverage on a display of the player's game play electronic device,
• wherein the computer program code for determining the ground coverage for the at least a portion of the map is constructed from a plurality of layers, and each of the layers produces attributes of the ground coverage for the at least a portion of the map using a different, separately trained machine learning agent.