bitter-lesson
Skill0 starsChanged 6 months agoNo licenceView on GitHub
Decide whether a hand-designed signal is a representation prior or a verdict — does it change what the optimal policy IS, or only how fast you find it. Use when adding reward shaping, curiosity bonuses, auxiliary losses, heuristics, or any hand-crafted feature to an RL or learning system, and when deciding what to bake into architecture versus reward. Covers potential-based shaping (Ng/Harada/ Russell 1999), architecture-as-prior, UNREAL-style auxiliary tasks on the shared encoder, annealing shaping to zero, successor features and cumulants, and learned intrinsic reward (RND, ICM) over hand-formulated curiosity. Trigger on "should I shape this reward", "add a heuristic", "hand-crafted feature", "reward hacking", or Sutton's bitter lesson.
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