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cs.RO2026
An Analysis of Streaming Deep Reinforcement Learning for Adaptive Continual Learning in Robotics
Teeratham Vitchutripop, Alyssa Quarles, Wenhe Zhang +2
Over the course of a lifetime, robots may encounter novel scenarios unaccounted for in its original training that result in performance degradation. One common approach to mitigati…
cs.RO2026
Towards Zero-Knowledge Task Planning via a Language-based Approach
Liam Merz Hoffmeister, Brian Scassellati, Daniel Rakita
In this work, we introduce and formalize the Zero-Knowledge Task Planning (ZKTP) problem, i.e., formulating a sequence of actions to achieve some goal without task-specific knowled…