Master’s thesis carried out at IIT Madras. Studied the connections between chaos and quantum entanglement. In particular, studied entanglement dynamics in mixed states of quantized chaotic systems, focusing on the quantum coupled standard map.
Published at Learning for Dynamics & Control Conference (L4DC), 2023. We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm. We show that, in model-based RL, model accuracy mainly matters in environments that are sensitive to initial conditions, where numerical errors accumulate fast.
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