Arthur Juliani

DeepRL-Agents. A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

TF-Tutorials. A collection of deep learning tutorials using Tensorflow and Python

Meta-RL. Implementation of Meta-RL A3C algorithm

oreilly-rl-tutorial. Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

neuro-nav. A library for neuroscience-inspired navigation and decision making research.

pytorch-diffusion. A basic PyTorch implementation of 'Denoising Diffusion Probabilistic Models'

dfp. Reinforcement Learning with Goals

Pix2Pix-Film. An implementation of Pix2Pix in Tensorflow for use with frames from films

sound-cnn. A convolutional neural network that classifies sounds

web-rl-playground. An interactive web-based demonstration of fundamental tabular Reinforcement Learning (RL) algorithms in a simple grid world environment.

3D-TSNE. A Unity project for visualizing t-SNE data in 3D.

RL-CC. Web-based Reinforcement Learning Control Center

successor_examples. Tutorials on learning and using successor representations.

dream-jrpg. An experiment in using LLMs to procedurally generate simple Japanese-style RPGs.

DNN-Sentiment. Convolutional and recurrent deep neural networks for text sentiment analysis.

NeuralDreamVideos. A deep learning model for creating video sequences

weather-explore. Compare the monthly climate in different cities represented as 3D rings

deep-rl-plasticity. Python

metaphysics-quiz. Discover your philosophical worldview in 8 dimensions.

cognition-course. Slides used in Cognitive Psychology course taught during summer 2015 at the University of Oregon

synescape. Sound visualization app for musicians and music fans.

interaction-grounded-learning. A simple PyTorch implementation of the ideas presented in the paper Interaction Grounded Learning (IGL) from Xie et al., 2021.

serotonin-ebm. Python