1. 科技英文作業 6 602410054 黃方世 602410087 陳竹軒

2. Introduction Talking about video games. Training agents for what. Focus on training Non-player-character (NPC). Training agents offline or online.

3. Real-time NeuroEvolution of Augmenting Topologies (1) Based on NeuroEvolution of Augmenting Topologies (NEAT). Evolving neural networks for reinforcement learning tasks using genetic algorithm. Starting with simple networks; expand the search space only when beneficial.

4. Real-time NeuroEvolution of Augmenting Topologies (2) The worst individual is removed and replaced with a child of parents chosen from among the best.

5. Real-time NeuroEvolution of Augmenting Topologies (3)

6. NeuroEvoluting Robotic Operatives (NERO) The exercises are increasingly difficult; the team can learning basic skills and gradually building on them.

7. Training Mode Robots have several types of sensors. The standard sensors include enemy radars, object rangefinders. ─ Enemy radar divide 360 degrees around the robot into slices. ─ Rangefinders project rays at several angles from the robot.

8. Playing NERO Training to run around walls to approach the enemy. Player incrementally add more walls until the robots can navigate an entire maze without any path-planning.