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20242026
most citedInteractive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving

4 citations · 6 across the 7 of their papers we have counts for

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cs.NE2024★ 2 cited

REvolve: Reward Evolution with Large Language Models using Human Feedback

Rishi Hazra, Alkis Sygkounas, Andreas Persson +2

Designing effective reward functions is crucial to training reinforcement learning (RL) algorithms. However, this design is non-trivial, even for domain experts, due to the subject…