Domain Randomization Strategies for Sim-to-Real Transfer
Diagnose which gap—visual, physics, sensor, or scenario—then apply targeted randomization.
Svetlana Řehořová
6 stories
Diagnose which gap—visual, physics, sensor, or scenario—then apply targeted randomization.
Self-attention lets game AIs link distant board positions without recurrent bottlenecks.
Different algorithms encode different spatial grammars that guide what explorers should search for.
Offline RL requires tight data coverage; online RL tolerates gaps by learning from mistakes.
Layering policies shortens planning horizons and splits credit assignment in long-horizon games.
Competitive pressure alone produces complex strategies agents never learn to code.