Month: October 2020

Hello, here is the post-jam version of my Ludum Dare 47 entry. The main change is the AI has a better reward function now and there are 2 additional players. It isn’t nearly as exploitable now. Here is the Jam version.

As before, you (the green agent) move with WASD.

NOTE: It may take a minute to load.

A bit more information on the AI – it uses AOgmaNeo (Arduino-compatible version of OgmaNeo2) but compiled with WebAssembly (with emscripten). Graphics are handled by the SFML-like (but WebAssembly-compatible) library SMK.

Each player has 18 columns with 16 cells in each column. Overall, there are 1,440 cells and almost 1 million synapses being simulated in the game.

The agents are trained via self-play, but they continue learning while you play (online learning).

A little game I made for Ludum Dare 47. It uses reinforcement learning (via AOgmaNeo) compiled with WebAssembly. It’s a capture-the-flag game, but you play with and against reinforcement learning agents!

WASD keys to move. There isn’t really a goal yet other than trying to get more points than the red team.