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The Rise of Self-Governing AI: From External Control to Intrinsic Intelligence

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Simplifying PDDL Axioms: A Method to Eliminate Negative Derived Predicates

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Fullcast Acquires Copy.ai to Forge First End-to-End AI-Native Revenue Operations Platform

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Dyna-Mind: Teaching AI Agents to Think Ahead Through Experience and Simulation

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AGENTFLOW: Training AI Agents for Smarter Planning and Tool Use

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Measuring Event Feasibility: A New Approach to Possibility

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Boosting Language Models’ Planning Prowess with Multi-Token Prediction

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UML-CoT: A Structured Approach to Robotic Room Cleaning

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Beyond Brute Force: How a New AI Learns Game Rules and Strategy

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Transformers Grasp Planning Logic: Learning STRIPS World Models from Action Traces

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HARMONIC: A New Robotic Architecture for Intelligent Human-Robot Collaboration

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Assessing Foundation Models for Planning Assistance

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New South Wales Government Launches Dedicated Office for AI Governance

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A Scalable Symbolic Approach to Learning General AI Policies

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Agentic Reinforcement Learning: Empowering LLMs as Autonomous Decision-Makers

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Unlocking AI’s Understanding: Learning Action Models from Incomplete Information

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Efficient Planning for Deterministic Multi-Agent Systems

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Optimizing Monte Carlo Tree Search for Modern Processors

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LOOP: A New Approach to Reliable Planning in Autonomous Systems

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CausalPlan: Enhancing LLM Agent Collaboration Through Causal Reasoning

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Adaptive Token Generation: A New Approach for Language Models in Reasoning Tasks

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HeroBench: A New Standard for Evaluating AI’s Long-Term Planning in Virtual Worlds

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Landmarks Enhance Monte Carlo Planning for Uncertain Environments

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New Benchmark Reveals Language Models Struggle with Video Game Logic and Spatial Reasoning

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Simulative Reasoning: Building More Capable AI Agents with World Models

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CoEx: Enhancing LLM Agents Through Adaptive Planning and World Modeling

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AI Agents Learn to Navigate: Combining Strategic Planning with Adaptive Exploration

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Enhancing Logistics Planning with Conversational AI and Verified Intent

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Enhancing Language Models’ Reasoning Through Structured Planning: The CRISP Dataset

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