Artificial Intelligence › Core AI ›

Planning

3112 directly classified papers

Papers per year

Papers

Self-Guided Planning and Repair Framework for Code Generation (Student Abstract) AAAI 2026

PAGER: Proactive Monitoring Agent for Enterprise AI Assistant AAAI 2026

Intention-Guided Cognitive Reasoning for Egocentric Long-Term Action Anticipation AAAI 2026

Reducing Goal State Divergence with Environment Design AAAI 2026

RENEW: Risk- and Energy-Aware Navigation in Dynamic Waterways AAAI 2026

PhyPlan: Learning to Plan Tasks with Generalizable and Rapid Physical Reasoning for Embodied Manipulation AAAI 2026

Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization AAAI 2026

Complex Instruction Following with Diverse Style Policies in Football Games AAAI 2026

Efficient Multiagent Planning via Shared Action Suggestions AAAI 2026

GRIP: Latent Field-Guided Graph Policy for Budget-Constrained Multi-Agent Routing AAAI 2026

Hestia: Voxel-Face-Aware Hierarchical Next-Best-View Acquisition for Efficient 3D Reconstruction WACV 2026

Hierarchical Reinforcement Learning with Topology-Aware Exploration Framework for Multi-path Commodity Flow Problem AAAI 2026

Chain-of-Look Spatial Reasoning for Dense Surgical Instrument Counting WACV 2026

Hybrid State Representation for Video Procedure Planning WACV 2026

WALDO: Where Unseen Model-based 6D Pose Estimation Meets Occlusion WACV 2026

Requirements for Aligned, Dynamic Resolution of Conflicts in Operational Constraints AAAI 2026

A Framework for Belief-based Programs and Their Verification (Abstract Reprint) AAAI 2026

Explanations for Sequential Decision-Making – an Overview AAAI 2026

Testing Under Strategic Manipulation: Mechanism Design for Human and AI Institutions AAAI 2026

Decidable Multi-agent Epistemic Planning: A Situation Calculus Approach AAAI 2026

Symbolic Planning and Multi-Agent Path Finding in Extremely Dense Environments with Unassigned Agents AAAI 2026

Enhancing PIBT via Multi-Action Operations AAAI 2026

Dominance Pruning and Heuristics in Optimal Adversarial Non-Deterministic Planning AAAI 2026

MeshA*: Efficient Path Planning with Motion Primitives AAAI 2026

From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning AAAI 2026