Domain Adaptation for Deep Reinforcement Learning in Visually Distinct Games

no code implementations • ICLR 2018 • Dino S. Ratcliffe, Luca Citi, Sam Devlin, Udo Kruschwitz

Many deep reinforcement learning approaches use graphical state representations, this means visually distinct games that share the same underlying structure cannot effectively share knowledge.

Domain Adaptation Multi-Task Learning +2