Proceedings of the International Conference on Automated Planning and Scheduling, 32 Archives - AAAI https://aaai.org/proceeding/icaps-32-2022/ Association for the Advancement of Artificial Intelligence Mon, 16 Oct 2023 05:11:49 +0000 en-US hourly 1 https://wordpress.org/?v=6.7.1 https://aaai.org/wp-content/uploads/2022/12/cropped-white-logo-32x32.png Proceedings of the International Conference on Automated Planning and Scheduling, 32 Archives - AAAI https://aaai.org/proceeding/icaps-32-2022/ 32 32 Anxiety-Sensitive Planning: From Formal Foundations to Algorithms and Applications https://aaai.org/papers/00730-19863-anxiety-sensitive-planning-from-formal-foundations-to-algorithms-and-applications/ https://aaai.org/papers/00730-19863-anxiety-sensitive-planning-from-formal-foundations-to-algorithms-and-applications/#respond Wed, 01 Feb 2023 20:14:38 +0000 https://aaaiprod.wpengine.com/papers/730-740-anxiety-sensitive-planning-from-formal-foundations-to-algorithms-and-applications/ The post Anxiety-Sensitive Planning: From Formal Foundations to Algorithms and Applications appeared first on AAAI.

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Verifiable and Compositional Reinforcement Learning Systems https://aaai.org/papers/00615-19849-verifiable-and-compositional-reinforcement-learning-systems/ https://aaai.org/papers/00615-19849-verifiable-and-compositional-reinforcement-learning-systems/#respond Wed, 01 Feb 2023 20:14:38 +0000 https://aaaiprod.wpengine.com/papers/615-623-verifiable-and-compositional-reinforcement-learning-systems/ The post Verifiable and Compositional Reinforcement Learning Systems appeared first on AAAI.

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Learning Multi-Agent Action Coordination via Electing First-Move Agent https://aaai.org/papers/00624-19850-learning-multi-agent-action-coordination-via-electing-first-move-agent/ https://aaai.org/papers/00624-19850-learning-multi-agent-action-coordination-via-electing-first-move-agent/#respond Wed, 01 Feb 2023 20:14:38 +0000 https://aaaiprod.wpengine.com/papers/624-628-learning-multi-agent-action-coordination-via-electing-first-move-agent/ The post Learning Multi-Agent Action Coordination via Electing First-Move Agent appeared first on AAAI.

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Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits https://aaai.org/papers/00629-19851-learning-general-optimal-policies-with-graph-neural-networks-expressive-power-transparency-and-limits/ https://aaai.org/papers/00629-19851-learning-general-optimal-policies-with-graph-neural-networks-expressive-power-transparency-and-limits/#respond Wed, 01 Feb 2023 20:14:38 +0000 https://aaaiprod.wpengine.com/papers/629-637-learning-general-optimal-policies-with-graph-neural-networks-expressive-power-transparency-and-limits/ The post Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits appeared first on AAAI.

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Multi-Agent Tree Search with Dynamic Reward Shaping https://aaai.org/papers/00652-19854-multi-agent-tree-search-with-dynamic-reward-shaping/ https://aaai.org/papers/00652-19854-multi-agent-tree-search-with-dynamic-reward-shaping/#respond Wed, 01 Feb 2023 20:14:38 +0000 https://aaaiprod.wpengine.com/papers/652-661-multi-agent-tree-search-with-dynamic-reward-shaping/ The post Multi-Agent Tree Search with Dynamic Reward Shaping appeared first on AAAI.

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DOMA: Deep Smooth Trajectory Generation Learning for Real-Time UAV Motion Planning https://aaai.org/papers/00662-19855-doma-deep-smooth-trajectory-generation-learning-for-real-time-uav-motion-planning/ https://aaai.org/papers/00662-19855-doma-deep-smooth-trajectory-generation-learning-for-real-time-uav-motion-planning/#respond Wed, 01 Feb 2023 20:14:38 +0000 https://aaaiprod.wpengine.com/papers/662-666-doma-deep-smooth-trajectory-generation-learning-for-real-time-uav-motion-planning/ The post DOMA: Deep Smooth Trajectory Generation Learning for Real-Time UAV Motion Planning appeared first on AAAI.

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A Network Flow Interpretation of Robust Goal Legibility in Path Finding https://aaai.org/papers/00668-19856-a-network-flow-interpretation-of-robust-goal-legibility-in-path-finding/ https://aaai.org/papers/00668-19856-a-network-flow-interpretation-of-robust-goal-legibility-in-path-finding/#respond Wed, 01 Feb 2023 20:14:38 +0000 https://aaaiprod.wpengine.com/papers/668-677-a-network-flow-interpretation-of-robust-goal-legibility-in-path-finding/ The post A Network Flow Interpretation of Robust Goal Legibility in Path Finding appeared first on AAAI.

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Actor-Focused Interactive Visualization for AI Planning https://aaai.org/papers/00678-19857-actor-focused-interactive-visualization-for-ai-planning/ https://aaai.org/papers/00678-19857-actor-focused-interactive-visualization-for-ai-planning/#respond Wed, 01 Feb 2023 20:14:38 +0000 https://aaaiprod.wpengine.com/papers/678-686-actor-focused-interactive-visualization-for-ai-planning/ The post Actor-Focused Interactive Visualization for AI Planning appeared first on AAAI.

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Conflict-Based Search for Explainable Multi-Agent Path Finding https://aaai.org/papers/00692-19859-conflict-based-search-for-explainable-multi-agent-path-finding/ https://aaai.org/papers/00692-19859-conflict-based-search-for-explainable-multi-agent-path-finding/#respond Wed, 01 Feb 2023 20:14:38 +0000 https://aaaiprod.wpengine.com/papers/692-700-conflict-based-search-for-explainable-multi-agent-path-finding/ The post Conflict-Based Search for Explainable Multi-Agent Path Finding appeared first on AAAI.

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VizXP: A Visualization Framework for Conveying Explanations to Users in Model Reconciliation Problems https://aaai.org/papers/00701-19860-vizxp-a-visualization-framework-for-conveying-explanations-to-users-in-model-reconciliation-problems/ https://aaai.org/papers/00701-19860-vizxp-a-visualization-framework-for-conveying-explanations-to-users-in-model-reconciliation-problems/#respond Wed, 01 Feb 2023 20:14:38 +0000 https://aaaiprod.wpengine.com/papers/701-709-vizxp-a-visualization-framework-for-conveying-explanations-to-users-in-model-reconciliation-problems/ The post VizXP: A Visualization Framework for Conveying Explanations to Users in Model Reconciliation Problems appeared first on AAAI.

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