7 citations · 13 across the 11 of their papers we have counts for
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cs.AI2022★ 1 cited
Settling the Reward Hypothesis
Michael Bowling, John D. Martin, David Abel +1
The reward hypothesis posits that, "all of what we mean by goals and purposes can be well thought of as maximization of the expected value of the cumulative sum of a received scala…
cs.LG2022
Should Models Be Accurate?
Esra'a Saleh, John D. Martin, Anna Koop +2
Model-based Reinforcement Learning (MBRL) holds promise for data-efficiency by planning with model-generated experience in addition to learning with experience from the environment…