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comparing-state-representation-performance

MIE1516 Course Project

costsensitive

(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)

decision-diagram

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

dreamer-pytorch

Dream to Control: Learning Behaviors by Latent Imagination

dreamer-pytorch-1

pytorch-implementation of Dreamer (Model-based Image RL Algorithm)

flow

guides

A collection of easy-to-understand guides to programming tools

hackathon-starter

A boilerplate for Node.js web applications

hand-detector

To identify in which direction is the person in the picture pointing in.

machine-learning

Content for Udacity's Machine Learning curriculum

markov-decision-process-value-iteration-policy-iteration-visualization

Computing an optimal Markov Decision Process (MDP) policy with Value Iteration and Policy Iteration

mb-exp

muzero-general

MuZero

neuripsintopt

Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.

parthjaggi.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

pm2-hive.github.io

Documentation website for PM2

pm2-pager

Receive notifications of exceptions from pm2 through nodemailer

py-utils

pymarl

Python Multi-Agent Reinforcement Learning framework

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

qmix-tf2

quora-kaggle

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rddlsim

Automatically exported from code.google.com/p/rddlsim

reinforcement-learning-2nd-edition-by-sutton-exercise-solutions

Solutions of Reinforcement Learning, An Introduction

rl_a3c_pytorch

A3C LSTM Atari with Pytorch plus A3G design

roma

Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (https://arxiv.org/abs/2003.08039)

shuttl-assign