A group, fuse, and retrain recipe for multi-game reinforcement learning lets a 32B model reach near-Claude3.5 performance on several TextArena games, though the headline score is internally inconsistent.
Finite-time regret bounds for the multiarmed bandit problem
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Divide-Fuse-Conquer: Eliciting "Aha Moments" in Multi-Scenario Games
A group, fuse, and retrain recipe for multi-game reinforcement learning lets a 32B model reach near-Claude3.5 performance on several TextArena games, though the headline score is internally inconsistent.