Reinforcement learning for FTC. This notebook attempts to get a robot to travel to waypoints(rings) with a basic MLP. The network has an observation space of robot pose, pose velocity, information about the target pose, and the timestep. The action space is forwards, sideways, and rotational acceleration.
Honyant/FTC-RL-Navigation
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