arXiv cs.AIPaper
GPU-CFR: 80x Faster Counterfactual Regret Minimization by Compiling the Game to Static Dataflow and CUDA Graph Replay
This is a real engineering win for game-theory workloads, which power poker-solving and some multi-agent RL applications. If you're building agents that need game-theoretic reasoning or you're deep in competitive RL, this is worth reading. For most builders, it's a specialty tool that doesn't move the needle.