CAST uses game solvers to provide turn-level RL signals
July 27, 2026
CAST converts changes in game solver state values into solver advantages to provide dense process signals for LLM agents. This method addresses the sparse reward problem in long-horizon reinforcement learning.
HOW THIS AFFECTS YOU
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builderThis enables more effective training of agents for complex, long-horizon tasks.
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researcherYou can use solver advantages to improve credit assignment in RLVR training.