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My project is to simulate a VC portfolio. The agent is a VC who is given to manager a $100M fund for 1 quarter. Agent's goal is to maximize the return of the fund. It has a total of 5 turns and it gets rewards at the end of quarter based on the performance of the fund. There are small interim reward based on the paper valuation of startups invested in. There are a total of 30 startups and 3 rival VCs and in every simulation, environment picks 3 startups and 1 rival VC from this mock dataset of startups and VCs.

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