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Persistent homology and autoencoders

RNN for text generation

Generative Adversarial Network library, implemented with PyTorch

Investigating the effects of replacing the typical Bellman backup with the HJB when using imperfect dynamics models

Implementation of Value Iteration from Demonstrations with Negative Sampling (VINS) for conservative value function extrapolation

My personal Deep RL library

Experiments with using policy re-parameterization to allow for the full computation of the Q-learning gradient

Implementations of iterative methods for solving linear systems

Different basic approaches to modeling conditional stochastic datasets

Implementations of the Algorithms in the Sutton and Barto 'Reinforcement Learning - 2nd Ed.' Textbook

Implementations of and latent space demonstrations with autoencoders, VAEs, and ß-VAEs in PyTorch

Implementations of and demonstrations with various transfer learning techniques

PyTorch implementation of the DARLA reinforcement learning pipeline

Custom timer for use when chairing MUN committees