Name: SOURADIP CHAKRABORTY
Type: User
Company: University of Maryland
Bio: Ph.D. student, University of Maryland
Past: ML Research@Walmart Labs
Uncertainty and Robustness in Deep Reinforcement Learning
Twitter: SOURADIPCHAKR18
Location: Maryland, USA
Blog: https://souradip-chakraborty.github.io/
SOURADIP CHAKRABORTY's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Author's PyTorch implementation of BCQ for continuous and discrete actions
Efficient Exploration through Bayesian Deep Q-Networks
Unifying Generative Autoencoder implementations in Python
Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
Algorithms from Scratch
Transfer Learning Pytorch
Discussion about theoritical bounds and limits on Machine Learning topics
Implementation of Curiosity-Driven Exploration with PyTorch
Density Constrained Reinforcement Learning
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
PyTorch implementations of deep reinforcement learning algorithms and environments
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Implementation of Deep Q-learning to solve random mazes.
PyTorch implementations of deep reinforcement learning algorithms
Pytorch implementation of DetectGPT (https://arxiv.org/pdf/2301.11305v1.pdf)
Trust-Driven, Human-Guided Robot Wayfinding using Deep RL
Implementations of the algorithms described in the paper: On the Convergence Theory for Hessian-Free Bilevel Algorithms.
ExORL: Exploratory Data for Offline Reinforcement Learning
Towards Causal Credit Assignment