Amin M's repositories
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
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
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.
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.