PORTFOLIO 

Deep Reinforcement Learning Agents

Deep Reinforcement Learning based control of complex robotic agents

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Habitat Point Goal Navigation

Embodied Visual Navigation in Habitat

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Learning inverse dynamics of 7-DOF Robot Arm

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Complex robot maze navigation using image classification and ROS

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Vehicle Control for Autonomous Driving

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Environment perception stack for Self Driving Cars

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Sentiment prediction using Reccurent Neural Networks

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Visual Odometry for Autonomous Driving

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Image: University of Toronto (Self Driving Cars Specialization)

Motion planning stack for Self Driving Cars

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End to end imitation learning of dynamically unstable systems

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