schroederdewitt

accelagent.github.io

facmac

leapfrog-triejoin

High-performance (C++) implementation of the leapfrog-triejoin algorithm by Todd Veldhuizen (http://arxiv.org/abs/1210.0481)

mackrl

Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

meme

This repository contains the code for the experiments in the paper "Communicating via Markov Decision Processes", accepted at ICML2022, S. Sokota*, C. Schroeder de Witt*, et al.

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

multiagent_mujoco

Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.

perfectly-secure-steganography

Contains open source code for the paper "Perfectly-secure Steganography using Minimum Entropy Coupling"

rl_games

TensorFlow RL implementations

schroederdewitt/multiagent_mujoco

Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.

schroederdewitt/perfectly-secure-steganography

Contains open source code for the paper "Perfectly-secure Steganography using Minimum Entropy Coupling"

schroederdewitt/facmac

schroederdewitt/meme

This repository contains the code for the experiments in the paper "Communicating via Markov Decision Processes", accepted at ICML2022, S. Sokota*, C. Schroeder de Witt*, et al.

schroederdewitt/accelagent.github.io

schroederdewitt/al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

schroederdewitt/annotated-s4

Implementation of https://srush.github.io/annotated-s4

schroederdewitt/audio

Data manipulation and transformation for audio signal processing, powered by PyTorch

schroederdewitt/cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

schroederdewitt/dcd

Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.

schroederdewitt/docker-postgis

Docker image for PostGIS

schroederdewitt/evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

schroederdewitt/generativeAgent_LLM

Implementation of "Generative Agents: Interactive Simulacra of Human Behavior" paper with Guidance and Langchain. Full features and work with local LLMs.

schroederdewitt/gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

schroederdewitt/gymnax

RL Environments in JAX 🌍

schroederdewitt/gymnax-blines

Baselines for gymnax 🤖

schroederdewitt/icor-codon-optimization

RNN-based Codon Optimization Tool. Preprint paper: https://doi.org/10.1101/2021.11.08.467706

schroederdewitt/openmalaria-gpu

A (partial) reimplementation of OpenMalaria on GPU using PyTorch

schroederdewitt/pomdp-py

A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/

schroederdewitt/purejaxrl

Really Fast End-to-End Jax RL Implementations

schroederdewitt/pymdptoolbox

Markov Decision Process (MDP) Toolbox for Python

schroederdewitt/pytorch-forecasting

Time series forecasting with PyTorch

schroederdewitt/qlora

QLoRA: Efficient Finetuning of Quantized LLMs

schroederdewitt/S5

schroederdewitt/SAC_discrete

PyTorch implementation of the discrete Soft-Actor-Critic algorithm.

schroederdewitt/spinningup

An educational resource to help anyone learn deep reinforcement learning.

schroederdewitt/TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

schroederdewitt/torrvision.github.io

schroederdewitt/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

schroederdewitt/varibad

Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)