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Research paper

Deep reinforcement learning from human preferences

At a glance

Taught AI agents tasks using people's comparisons of their behavior rather than hand-written rewards.

In one paragraph

Showed how AI agents can learn tasks from people comparing short clips of their behavior, rather than from hand-written rewards. Demonstrated the approach in Atari games and simulated robot movement.

Authors 6

  1. Paul Christiano
  2. Jan Leike
  3. Tom Brown
  4. Miljan Martic
  5. Shane Legg
  6. Dario Amodei