Reward machines can be inferred from raw state trajectories alone when sufficient data is available, with an active learning extension that queries trajectory extensions for better efficiency.
Synthesis for robots: Guaran- tees and feedback for robot behavior,
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
-
Active Reward Machine Inference From Raw State Trajectories
Reward machines can be inferred from raw state trajectories alone when sufficient data is available, with an active learning extension that queries trajectory extensions for better efficiency.