18 citations · 24 across the 8 of their papers we have counts for
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cs.LG2025★ 1 cited
Towards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners
Calarina Muslimani, Kerrick Johnstonbaugh, Suyog Chandramouli +3
Reinforcement learning agents are fundamentally limited by the quality of the reward functions they learn from, yet reward design is often overlooked under the assumption that a we…
cs.LG2023★ 1 cited
Online simulator-based experimental design for cognitive model selection
Alexander Aushev, Aini Putkonen, Gregoire Clarte +4
The problem of model selection with a limited number of experimental trials has received considerable attention in cognitive science, where the role of experiments is to discrimina…