Policy-Fusion-RL. Policy fusion methods to combined pre-trained policies without the need of retraining them, mainly for game developers. Unlike systems built to replace human players, our agents aim to produce meaningful interactions with the player, and at the same time demonstrate behavioral traits as desired by game designers.

Problem

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Audience

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Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.