openclaw-genpark-recursive-strategic-optimizer

OpenClaw GenPark Recursive Strategic Optimizer - Regret-matching equilibrium and payoff matrix optimizer with IESDS dominance pruning.

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Stars: 7
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+ today: +1
Created: 1d

Ranking data as of October 30, 2026 (UTC).

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Overview

OpenClaw GenPark Recursive Strategic Optimizer - Regret-matching equilibrium and payoff matrix optimizer with IESDS dominance pruning. It ranks #967 on GitTiger, gaining +1 star on October 30, 2026 (UTC).

The project is written in Python. It was created 1d ago.

Installation

git clone https://github.com/alphaparkinc/openclaw-genpark-recursive-strategic-optimizer.git
cd openclaw-genpark-recursive-strategic-optimizer
# see README for setup