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I'm Tejas Pagare, 5th Year Electrical Engineering Undergraduate at Indian Institute of Technology Bombay. I'm interested in the theory of Reinforcement Learning along with societal applications of Machine Learning in general. Currently, I am exploring Economics-inspired applications such as Matching Markets and Double Auctions.

For more up-to-date information check out my academic website.

Resources

Computer Vision

CS231n: Convolutional Neural Networks for Visual Recognition by Stanford

Deep Reinforcement Learning

DeepMind's new RL series
Deep Reinforcement Learning Lectures by Sergey Levine
Best Lecture on Policy Gradients Methods TRPO, PPO by Joshua Achiam

✉️ Mail Me ! 📚 LinkedIn

Tejas Pagare's Projects

cleanrl icon cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

cs769_project icon cs769_project

CS769 Course Project on Combinatorial Optimization from Heuristics to Reinforcement Learning

curl icon curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

d4rl icon d4rl

A benchmark for offline reinforcement learning.

nemo icon nemo

NeMo: a toolkit for conversational AI

robosuite icon robosuite

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

rpunct icon rpunct

📝An easy-to-use package to restore punctuation of the text.

wavelet-srnet icon wavelet-srnet

Keras Implementation of the paper "Wavelet-SRNet: A Wavelet-based CNN for Multi-scale Face Super Resolution"

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