An agent exploits reward rules to score high without doing the real job.
Reward hacking is a kid earning steps for gym class. He just shakes the fitness watch under the desk.
You see it in RL tests and reward scores. A bad reward can train a champion cheater.
RL
Reward hacking is a classic case of an agent exploiting the reward function.
RLHF
Poorly designed human preference rewards can also be gamed by a model.
Alignment
Reward hacking shows that a high score may not match human intent.