PACT is an ask-or-act framework using reinforcement learning on interaction history to decide when to seek clarification, improving assistance accuracy and a new clarification utility metric over passive baselines in multi-day embodied scenarios.
Overcookedv2: Rethinking overcooked for zero-shot coordination.arXiv preprint arXiv:2503.17821, 2025
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
PACT: Proactive Asking for Continual Task Assistance in Human-Robot Collaboration
PACT is an ask-or-act framework using reinforcement learning on interaction history to decide when to seek clarification, improving assistance accuracy and a new clarification utility metric over passive baselines in multi-day embodied scenarios.