Cattle Trade benchmark shows heuristic code agents outperforming most LLMs in integrated strategic tasks like bidding, bluffing, and resource allocation across 242 games, with strategic coherence predicting rank better than spending volume.
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MTG-Causal-RL is a new benchmark for causal RL using Magic: The Gathering with an explicit SCM, five archetypes, and CGFA-PPO agent showing competitive win rates plus diagnostic metrics.
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Cattle Trade: A Multi-Agent Benchmark for LLM Bluffing, Bidding, and Bargaining
Cattle Trade benchmark shows heuristic code agents outperforming most LLMs in integrated strategic tasks like bidding, bluffing, and resource allocation across 242 games, with strategic coherence predicting rank better than spending volume.
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Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark
MTG-Causal-RL is a new benchmark for causal RL using Magic: The Gathering with an explicit SCM, five archetypes, and CGFA-PPO agent showing competitive win rates plus diagnostic metrics.