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0:29
YouTube
Devworld
Reinforcement Learning Showcase | ML-Agents Cube Dodger Simulation
Project Overview: This project demonstrates the implementation of Unity ML-Agents to train an intelligent agent (the "Dog") to autonomously navigate a hazardous environment. The objective was to use Reinforcement Learning to teach the agent how to dodge incoming cubes and survive for the maximum duration possible. My Training Progress ...
3 views
1 month ago
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