RLAI Reinforcement Learning and Artificial Intelligence (RLAI)
Topics that Rich sees as excellent research opportunities and essential to solving AI
--Rich Sutton, Oct 4 2004
  1. Non-Markov modeling (need to construct approximations to state)
  2. Knowledge representation, including
  3. Using the model - planning
  4. Off policy learning with bootstrapping and linear function approximation
  5. Discovery (options, rep'ns, features, states, questions...)
  6. "Real" applications (in the sense of Michael Littman)
  7. Curiosity -- Intrinsic/changing reward, incl exploration/exploitation
  8. Dynamic prioritization (meta control)
  9. Generalization, similarity

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