League of Legends Reinforcement Learning Environment (LoLRLE) multiple training scenarios using PPO.

Related tags

Deep LearningLoLRLE
Overview

League of Legends Reinforcement Learning Environment (LoLRLE)

About

This repo contains code to train an agent to play league of legends in a distributed manner using the PPO algorithm. The task is a simple one, kill the enemy player as many times as you can within one minute. However, the complexity of this task alone is far more complicated than Chess, Shogi, Go and many other games due to the state space complexity. Therefore, this introduces an interesting problem for a machine learning agent to solve as there are many actions for each timestep as well.

The goal of this project is to produce a bot which is competitive against human players, one major caveat of this project is that the environment doesn't contain minions (one of the most important parts of the game) and that other parts of the game are restricted.

Owner
GitHub Repository
Detectron2 is FAIR's next-generation platform for object detection and segmentation.

Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up r

Facebook Research 23.3k Jan 08, 2023
Dataloader tools for language modelling

Installation: pip install lm_dataloader Design Philosophy A library to unify lm dataloading at large scale Simple interface, any tokenizer can be inte

5 Mar 25, 2022
Code for CVPR2019 paper《Unequal Training for Deep Face Recognition with Long Tailed Noisy Data》

Unequal-Training-for-Deep-Face-Recognition-with-Long-Tailed-Noisy-Data. This is the code of CVPR 2019 paper《Unequal Training for Deep Face Recognition

Zhong Yaoyao 68 Jan 07, 2023
Spectral Tensor Train Parameterization of Deep Learning Layers

Spectral Tensor Train Parameterization of Deep Learning Layers This repository is the official implementation of our AISTATS 2021 paper titled "Spectr

Anton Obukhov 12 Oct 23, 2022
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Visdom A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Python. Overview Concepts Setup Usage API To

FOSSASIA 9.4k Jan 07, 2023
General Virtual Sketching Framework for Vector Line Art (SIGGRAPH 2021)

General Virtual Sketching Framework for Vector Line Art - SIGGRAPH 2021 Paper | Project Page Outline Dependencies Testing with Trained Weights Trainin

Haoran MO 118 Dec 27, 2022
🏅 Top 5% in 제2회 연구개발특구 인공지능 경진대회 AI SPARK 챌린지

AI_SPARK_CHALLENG_Object_Detection 제2회 연구개발특구 인공지능 경진대회 AI SPARK 챌린지 🏅 Top 5% in mAP(0.75) (443명 중 13등, mAP: 0.98116) 대회 설명 Edge 환경에서의 가축 Object Dete

3 Sep 19, 2022
A learning-based data collection tool for human segmentation

FullBodyFilter A Learning-Based Data Collection Tool For Human Segmentation Contents Documentation Source Code and Scripts Overview of Project Usage O

Robert Jiang 4 Jun 24, 2022
GeneralOCR is open source Optical Character Recognition based on PyTorch.

Introduction GeneralOCR is open source Optical Character Recognition based on PyTorch. It makes a fidelity and useful tool to implement SOTA models on

57 Dec 29, 2022
3.8% and 18.3% on CIFAR-10 and CIFAR-100

Wide Residual Networks This code was used for experiments with Wide Residual Networks (BMVC 2016) http://arxiv.org/abs/1605.07146 by Sergey Zagoruyko

Sergey Zagoruyko 1.2k Dec 29, 2022
Make a Turtlebot3 follow a figure 8 trajectory and create a robot arm and make it follow a trajectory

HW2 - ME 495 Overview Part 1: Makes the robot move in a figure 8 shape. The robot starts moving when launched on a real turtlebot3 and can be paused a

Devesh Bhura 0 Oct 21, 2022
Addition of pseudotorsion caclulation eta, theta, eta', and theta' to barnaba package

Addition to Original Barnaba Code: This is modified version of Barnaba package to calculate RNA pseudotorsion angles eta, theta, eta', and theta'. Ple

Mandar Kulkarni 1 Jan 11, 2022
FewBit — a library for memory efficient training of large neural networks

FewBit FewBit — a library for memory efficient training of large neural networks. Its efficiency originates from storage optimizations applied to back

24 Oct 22, 2022
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

Caffe SegNet This is a modified version of Caffe which supports the SegNet architecture As described in SegNet: A Deep Convolutional Encoder-Decoder A

Alex Kendall 1.1k Jan 02, 2023
LUKE -- Language Understanding with Knowledge-based Embeddings

LUKE (Language Understanding with Knowledge-based Embeddings) is a new pre-trained contextualized representation of words and entities based on transf

Studio Ousia 587 Dec 30, 2022
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

512x512 flowers after 12 hours of training, 1 gpu 256x256 flowers after 12 hours of training, 1 gpu Pizza 'Lightweight' GAN Implementation of 'lightwe

Phil Wang 1.5k Jan 02, 2023
Video Contrastive Learning with Global Context

Video Contrastive Learning with Global Context (VCLR) This is the official PyTorch implementation of our VCLR paper. Install dependencies environments

143 Dec 26, 2022
Object-aware Contrastive Learning for Debiased Scene Representation

Object-aware Contrastive Learning Official PyTorch implementation of "Object-aware Contrastive Learning for Debiased Scene Representation" by Sangwoo

43 Dec 14, 2022
Official implementation of EfficientPose

EfficientPose This is the official implementation of EfficientPose. We based our work on the Keras EfficientDet implementation xuannianz/EfficientDet

2 May 17, 2022
A simple configurable bot for sending arXiv article alert by mail

arXiv-newsletter A simple configurable bot for sending arXiv article alert by mail. Prerequisites PyYAML=5.3.1 arxiv=1.4.0 Configuration All config

SXKDZ 21 Nov 09, 2022