CAST: Game Solvers as Turn-Level Teachers for LLM Agents
英文标题：CAST: Game Solvers as Turn-Level Teachers for LLM Agents
arXiv:2607.25308v1 Announce Type: new Abstract: Training large language models (LLMs) to act in long-horizon games is a promising step toward generalist decision-making, yet reinforcement learning with verifiable rewards (RLVR) relies on sparse final rewards that reveal little about which decisions
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arXiv:2607.25308v1 Announce Type: new Abstract: Training large language models (LLMs) to act in long-horizon games is a promising step toward generalist decision-making, yet reinforcement learning with verifiable rewards (RLVR) relies on sparse final rewards that reveal little about which decisions
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