18 citations · 39 across the 12 of their papers we have counts for
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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.AI2023
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments
Tung Thai, Ming Shen, Mayank Garg +10
Learning to detect, characterize and accommodate novelties is a challenge that agents operating in open-world domains need to address to be able to guarantee satisfactory task perf…