Acting, planning, and learning /
Malik Ghallab, Dana Nau, Paolo Traverso.
- Cambridge : Cambridge University Press, 2025.
- xvii, 614 p. : ill. ; 26 cm.
Includes bibliographical references and index.
Deterministic representation and acting -- Planning with deterministic models -- Learning deterministic models -- HTN representation and planning -- Acting with HTNs -- Learning HTN methods -- Probabilistic representation and acting -- Planning with probabilistic models -- Reinforcement learning -- Acting with nondeterministic models -- Planning with nondeterministic models -- Learning nondeterministic models -- Acting with hierarchical refinement -- Hierarchical refinement planning -- Learning hierarchical refinement models -- Temporal representation and planning -- Acting with temporal controllability -- Learning for temporal acting and planning -- Motion and manipulation actions -- Task and motion planning -- Learning for movement actions -- Large language models for acting and planning -- Perceiving, monitoring and goal reasoning.
"AI's next big challenge is integrating and automating the essential cognitive abilities of acting, planning, and learning. This comprehensive overview covers a range of models -deterministic, probabilistic (including MDP and reinforcement learning), hierarchical, nondeterministic, temporal, spatial - and applications in robotics"