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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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A short blog post explaining how SAC works. I also implement SAC from scratch and train on a few tasks.
A short blog post explaining how DDPG works. I also implement DDPG from scratch and train on a few tasks.
I compare different policy evaluation approaches on the random walk problem.
Find the shortest path on a grid using RL.
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.
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
This is a description of a teaching experience. You can use markdown like any other post.
This is a description of a teaching experience. You can use markdown like any other post.