GitHub - vrtnis/tycoon-learning-environment: A JAX transport-economy learning environment for route planning, cargo flow, financing, and replayable agent benchmarks.
Summary
Tycoon Learning Environment introduces a JAX-based reinforcement learning environment for transport-economy planning. The project lets agents manage routes, cargo flow, capital allocation, debt, and delayed rewards inside a simulated logistics economy. It also includes a replay UI and a benchmark package so users can inspect behavior and compare model performance. Developers can install it, run tests, and train a small PPO smoke run locally. This makes the release useful for researchers building planning agents and evaluation workflows.
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industries
Fintech & Banking
applications
Anti Piracy
AskAI Classifications
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Video Games
Simulation Software
Open Source Software
