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ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

causalml

Uplift modeling and causal inference with machine learning algorithms

decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

diplomacy

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

gatsby-theme-intro

Personal branding theme for developers

google-research

Google Research

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-multigrid

Lightweight multi-agent gridworld Gym environment

gym3

Vectorized interface for reinforcement learning environments

haiku

JAX-based neural network library

lab2d

A customisable 2D platform for agent-based AI research

learning-explanations-hard-to-vary

Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard to vary"

marlgrid

Gridworld for MARL experiments

master-template

Template and style files for ICLR

meltingpot

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

parametersharingmadrl

pettingzoo

Gym for multi-agent reinforcement learning

poet

Paired Open-Ended Trailblazer (POET) and Enhanced POET

rlpyt

Reinforcement Learning in PyTorch

sequential_social_dilemma_games

Repo for reproduction of sequential social dilemmas

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.