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marl_transfer

Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (https://arxiv.org/abs/1906.01202)

mars

MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.

mass

mathsdl-spring19

Mathematics of Deep Learning, Courant Insititute, Spring 19

maven

Submission for MAVEN: Multi-Agent Variational Exploration

max

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

mazelab

A customizable framework to create maze and gridworld environments

mbbl

mdp-playground

A python package to design and debug RL agents.

me-trpo

measuring-emergent-comm

On the pitfalls of measuring emergent communication

meta-dataset

A dataset of datasets for learning to learn from few examples

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

metairl

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables

metaworld

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

mfrl

Mean Field Multi-Agent Reinforcement Learning

mincemeatpy

Lightweight MapReduce in python

minecraft

Simple Minecraft-inspired program using Python and Pyglet

minerl

MineRL Competition for Sample Efficient Reinforcement Learning - Python Package

minerl-rllib

MineRL RLlib Benchmark

minerva

An out-of-the-box GUI tool for offline deep reinforcement learning

mini-alphastar

A mini-source reproduction code of the AlphaStar program which is an AI proposed by DeepMind to play StarCraft II.

minihack

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

minirts

We release dataset collected for our research, code that implement neural network models described in the paper, and scripts to reproduce all of our results, and visualization tool for visualize dataset.

mistake-in-retro-contest-of-openai

mit-courses

Repository of course notes and homework

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

mixture-density-networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

ml-agents

Unity Machine Learning Agents