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All SourcesarXiv
#LLM planning

World Models for Policy Refinement in StarCraft II

Intermediate
Yixin Zhang, Ziyi Wang et al.Feb 16arXiv

The paper builds StarWM, a ‘world model’ that lets a StarCraft II agent imagine what will happen a few seconds after it takes an action.

#world model#action-conditioned dynamics#StarCraft II

TourPlanner: A Competitive Consensus Framework with Constraint-Gated Reinforcement Learning for Travel Planning

Intermediate
Yinuo Wang, Mining Tan et al.Jan 8arXiv

TourPlanner is a travel-planning system that first gathers the right places, then lets multiple expert ‘voices’ debate plans, and finally polishes the winner with a learning method that follows rules before style.

#travel planning#multi-agent reasoning#chain-of-thought