Tag: AI planning
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Enhancing Planning Domain Generation with Model Space Search
Discover how heuristic search and symbolic feedback improve planning domain generation from natural language using advanced AI models.
RAMP: Hybrid DRL for Online Numeric Action Model Learning
Discover RAMP, a hybrid deep reinforcement learning method for online learning of numeric action models, enhancing automated planning efficiency and adapta...
Faithful-First Reasoning for Reliable Multimodal LLMs
Discover the Faithful-First RPA framework enhancing reasoning and planning in multimodal LLMs for more accurate, trustworthy AI outputs.
Optimizing Plans to Minimize Disruption and Costs
Discover how to create efficient plans that minimize state changes and action costs, balancing goal achievement with minimal disruption.
How Much LLM Power Does a Self-Revising Agent Need?
Explore how much large language model (LLM) capacity self-revising agents require for optimal planning, reflection, and decision-making in AI systems.