42 citations · 146 across the 13 of their papers we have counts for
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cs.LG2023
Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?
Akansha Kalra, Daniel S. Brown
Reinforcement Learning from Human Feedback (RLHF) has emerged as a popular paradigm for capturing human intent to alleviate the challenges of hand-crafting the reward values. Despi…
cs.MA2023★ 5 cited
Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms
Connor Mattson, Daniel S. Brown
Robot swarms often exhibit emergent behaviors that are fascinating to observe; however, it is often difficult to predict what swarm behaviors can emerge under a given set of agent…