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Acting, planning, and learning / Malik Ghallab, Dana Nau, Paolo Traverso.

By: Contributor(s): Material type: TextPublication details: Cambridge : Cambridge University Press, 2025.Description: xvii, 614 p. : ill. ; 26 cmISBN:
  • 9781009579384 (hbk.)
Subject(s):
DDC classification:
  • 006.3 GHA
Contents:
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.
Summary: "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"
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Books Central Library Reference Reference 006.3 GHA (Browse shelf(Opens below)) Not for loan 235779

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"

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