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cs.AI2023
Incorporating Human Flexibility through Reward Preferences in Human-AI Teaming
Siddhant Bhambri, Mudit Verma, Upasana Biswas +2
Preference-based Reinforcement Learning (PbRL) has made significant strides in single-agent settings, but has not been studied for multi-agent frameworks. On the other hand, modeli…
cs.RO2023★ 2 cited
Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning
Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati
Preference Based Reinforcement Learning has shown much promise for utilizing human binary feedback on queried trajectory pairs to recover the underlying reward model of the Human i…