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TensorFlow Agents: Maze Optimization
This talk demonstrates shortest path optimization in a maze using reinforcement learning with OpenAI Gym and TensorFlow Agents in a custom environment.
Demonstrating shortest path optimization in a maze using reinforcemnet learning. Using OpenAI Gym to create a tailored environment for this reinforcemnet learning problem. And applying TensorFlow agents (cutting-edge reinforcement learning algorithms) to this tailored environment.
Proximal Policy Optimization trains agents in custom Gym and MuJoCo environments.
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