Artificial Intelligence › Core AI ›

Planning

3112 directly classified papers

Papers per year

Papers

AStar: Boosting Multimodal Reasoning with Automated Structured Thinking AAAI 2026

Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models AAAI 2026

TaREx: Reinforcement Learning for Code-Driven Table Reasoning AAAI 2026

From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation AAAI 2026

Efficient Thought Space Exploration Through Strategic Intervention AAAI 2026

Dynamic Cognitive Planning for Cognitive-Functional Dialogue: A Case Study in Emotional Support Conversation AAAI 2026

ARBench: Algorithmic Reasoner or API Alchemist? Evaluating LLMs Beyond API Calls AAAI 2026

Let’s Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts AAAI 2026

Schema-Guided Event Reasoning: A Plug-and-Play Event Reasoning Framework Based on Large Language Models AAAI 2026

GeM-VG: Towards Generalized Multi-image Visual Grounding with Multimodal Large Language Models AAAI 2026

QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation AAAI 2026

When Natural Strategies Meet Fuzziness and Resource-Bounded Actions AAAI 2026

Mental Model-based Generation of Lies for Insider Threat Modeling AAAI 2026

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

Agent-SAMA: State-Aware Mobile Assistant AAAI 2026

Tapas Are Free! Training-Free Adaptation of Programmatic Agents via LLM-Guided Program Synthesis in Dynamic Environments AAAI 2026

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

Graph Attention-Guided Search for Dense Multi-Agent Pathfinding AAAI 2026

Multi-Agent Corridor Reasoning for Multi-Agent Path Finding AAAI 2026

Enhancing PIBT via Multi-Action Operations AAAI 2026

W2S-AlignTree: Weak-to-Strong Inference-Time Alignment for Large Language Models via Monte Carlo Tree Search AAAI 2026

RESTL: Reinforcement Learning Guided by Multi-Aspect Rewards for Signal Temporal Logic Transformation AAAI 2026

Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models AAAI 2026

MMhops-R1: Multimodal Multi-hop Reasoning AAAI 2026

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning AAAI 2026