a simple and scalable agent for training adaptive policies with sequence-based RL

Foundation Policies with Hilbert Representations (ICML 2024)

Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".

A list of papers regarding generalization in (deep) reinforcement learning

Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design"

Fun ggplot themes for popular culture

ExORL: Exploratory Data for Offline Reinforcement Learning

Based on a true story

Meta reinforcement learning benchmark with building control environments. An attempt to help scale greener building controllers to more buildings.

Unofficial Gato: A Generalist Agent

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

Code for "Temporal Difference Learning for Model Predictive Control"

This project provides Gym environments to train RL agents to operate batteries in solar-plus-battery installations.

Notes and exercise solutions for second edition of Sutton & Barto's book

An investigation into the impacts of the N501Y variant, population immunity and vaccine distribution strategies on COVID-19 spread