POMRL: No-Regret Learning-to-Plan with Increasing Horizons [TMLR 2023]

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

Implementation of Slot Attention from GoogleAI

World Models

Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020

Code for the Medical Deadend Paper at NeurIPS 2021

Examples of how to create colorful, annotated equations in Latex using Tikz.

The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning

Hydra is a framework for elegantly configuring complex applications

The NetHack Learning Environment

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

Self-Supervised Attention-Aware Reinforcement Learning

Continual Reinforcement Learning in 3D Non-stationary Environments

Variance penalized actor-critic for on- and off-policy algorithm

The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.

🏆 gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020…

A framework for experimenting with never-ending learning

Toolbox of models, callbacks, and datasets for AI/ML researchers.

Motion Retargeting Video Subjects

PyTorch implementation of "The Option Keyboard: Combining Skills in Reinforcement Learning" (NeurIPS 2019)

⭐️ Companies that don't have a broken hiring process

This repository contains implementations and illustrative code to accompany DeepMind publications

Code for Interference and Generalization in Temporal Difference Learning (ICML 2020)