The trembling-hand problem for LTLf planning
Consider an agent acting to achieve its temporal goal, but with a "trembling hand". In this case, the agent may mistakenly instruct, with a certain (typically small) probability, actions that are not intended due to faults or imprecision in its action selection mechanism, thereby leading t...
Main Authors: | Yu, P, Zhu, S, De Giacomo, G, Vardi, M |
---|---|
Format: | Conference item |
Language: | English |
Published: |
International Joint Conference on Artificial Intelligence
2024
|
Similar Items
-
LTLf best-effort synthesis in nondeterministic planning domains
by: De Giacomo, G, et al.
Published: (2023) -
Symbolic LTLf best-effort synthesis
by: De Giacomo, G, et al.
Published: (2023) -
Grounding LTLf specifications in image sequences
by: Umili, E, et al.
Published: (2023) -
Towards ILP-based LTLf passive learning
by: Ielo, A, et al.
Published: (2023) -
Composition of stochastic services for LTLf goal specifications
by: De Giacomo, G, et al.
Published: (2024)