Dave

simple_rl. A simple framework for experimenting with Reinforcement Learning in Python.

latex_docs. LaTeX template and custom commands

icml_2019. Notes for ICML 2019

neurips_2019. Notes from NeurIPS 2019

rl_abstraction. Code for experimenting with state and action abstractions in reinforcement learning.

iclr_2019. Notes from ICLR 2019

transfer_rl_icml_2018. A codebase for experimenting with various approaches to action priors.

rl_info_theory. A collection of code investigating the use of information theory for abstractions in RL

aaai_2019. Conference notes for AAAI 2019

solar_panels_rl. Repository for code experimenting with RL and Solar Tracking

state_abstraction. Code for abstracting, evaluating, and visualizing Markov Decision Processes.

ethical_dilemmas. Code for our implementations of the ethical dilemmas Cake or Death and Burning Room, and their solvers.

rldm_2019. Notes for RLDM 2019

vpsa_aistats2020. Code to accompany our 2020 AISTATS paper "Value Preserving State-Action Abstractions"

iacap_2019. Notes for IACAP 2019

minimal. A Theme for GitHub Pages

felix. Some simple Machine Learning for improvising MIDI music.

brown_cs_grad_lunch_pairs. Code for making lunch pairings

continuous_state_sa. Code for running experiments involving learning state abstractions for continuous state RL problems.

madison_property. Python code for a simple word game

discover_2018. Python

brown_complexity_reading_group. Notes for Brown's Complexity Reading Group, Fall 2015

ai_ethics. Contains documents + related code for submission to 2015 AAAI workshop on AI & Ethics

misc_algorithms. A collection of miscellaneous algorithms (mostly in python)

art_language. Python

name_generator. Automatically generate names

scm_thesis. Docs for my Master's Thesis on Stochastic Planning

noteworks. RTS game in a Network.