Tag: AI planning
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Enhancing Latent World Models with RC-aux for Planning
Discover how RC-aux improves latent world models by aligning prediction with planning for better long-term AI decision-making.
HTN Planning Enhanced by LLM-Generated Heuristics
Discover how LLM-generated heuristics improve Hierarchical Task Network planning efficiency and coverage in automated decision-making.
Hierarchical Policy Learning for Efficient LLM Planning
Discover HCL-GP, a novel method improving large language model planning via hierarchical task decomposition and reusable policy components.
Novelty-Based Tree-of-Thought Search for LLM Planning
Discover how Novelty-based Tree-of-Thought Search improves LLM reasoning and planning by enhancing efficiency and reducing resource use.
HaM-World: Advanced Soft-Hamiltonian Models for Planning
Discover HaM-World, a novel soft-Hamiltonian world model with selective memory that boosts planning accuracy and stability in model-based AI.