Transfer learning between RTS combat scenarios using component-action deep reinforcement learning

Real-time Strategy (RTS) games provide a challenging environment for AI research, due to their large state and action spaces, hidden information, and real-time gameplay. StarCraft II has become a new test-bed for deep reinforcement learning systems using the StarCraft II Learning Environment (SC2LE). Recently the full game of StarCraft II has been approached with a complex multi-agent reinforcement learning (RL) system, however this is …