Learning-based agent for Google Research Football

Overview

TiKick

License

1.Introduction

Learning-based agent for Google Research Football

Code accompanying the paper "TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations". [arxiv][videos]

2.Installation

pip install -r requirements.txt
pip install -e .

3.Evaluation with Trained Model

(a) First, you should download the trained model from Baidu Yun or Google Drive:

(b) Then, you should put the actor.pt under ./models/academy_3_vs_1_with_keeper/.

(c) Finally, you can go to the ./scripts/football folder and execute the evaluation script as below:

cd scripts/football
./evaluate.sh

Then the replay file will be saved into ./results/academy_3_vs_1_with_keeper/replay/.

  • Hyper-parameters in the evaluation script:
    • --replay_save_dir : the replay file will be saved in this directory
    • --model_dir : pre-trained model should be placed under this directory
    • --n_eval_rollout_threads : number of parallel envs for evaluating rollout
    • --eval_num : number of total evaluation times

4.Render with the Replay File

Once you obtain a replay file, you can convert it to a .avi file and watch the game. This can be easily done via:

cd scripts/football
python3 replay2video.py --replay_file ../../results/academy_3_vs_1_with_keeper/replay/your_path.dump

The video file will finally be saved to ./results/academy_3_vs_1_with_keeper/video/

5.Cite

Please cite our paper if you use our codes or our weights in your own work:

@misc{huang2021tikick,
    title={TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations},
    author={Shiyu Huang and Wenze Chen and Longfei Zhang and Ziyang Li and Fengming Zhu and Deheng Ye and Ting Chen and Jun Zhu},
    year={2021},
    eprint={2110.04507},
    archivePrefix={arXiv},
    primaryClass={cs.AI}
}
Owner
Tsinghua AI Research Team for Reinforcement Learning
Tsinghua AI Research Team for Reinforcement Learning (Creativity, Practicality and Optimist)
Tsinghua AI Research Team for Reinforcement Learning
Deep Learning Theory

Deep Learning Theory 整理了一些深度学习的理论相关内容,持续更新。 Overview Recent advances in deep learning theory 总结了目前深度学习理论研究的六个方向的一些结果,概述型,没做深入探讨(2021)。 1.1 complexity

fq 103 Jan 04, 2023
Code for the paper "Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness"

DU-VAE This is the pytorch implementation of the paper "Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness" Acknowledgement

Dazhong Shen 4 Oct 19, 2022
null

DeformingThings4D dataset Video | Paper DeformingThings4D is an synthetic dataset containing 1,972 animation sequences spanning 31 categories of human

208 Jan 03, 2023
Explaining in Style: Training a GAN to explain a classifier in StyleSpace

Explaining in Style: Official TensorFlow Colab Explaining in Style: Training a GAN to explain a classifier in StyleSpace Oran Lang, Yossi Gandelsman,

Google 197 Nov 08, 2022
Official implementation of "Learning Proposals for Practical Energy-Based Regression", 2021.

ebms_proposals Official implementation (PyTorch) of the paper: Learning Proposals for Practical Energy-Based Regression, 2021 [arXiv] [project]. Fredr

Fredrik Gustafsson 10 Oct 22, 2022
This project implements "virtual speed" from heart rate monito

ANT+ Virtual Stride Based Speed and Distance Monitor Overview This project imple

2 May 20, 2022
A PyTorch implementation of "From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network" (ICCV2021)

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network The official code of VisionLAN (ICCV2021). VisionLAN successfully a

81 Dec 12, 2022
Official PyTorch Implementation of Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition, ICCV 2021

Official PyTorch Implementation of Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition, ICCV 2021

26 Dec 07, 2022
A Dying Light 2 (DL2) PAKFile Utility for Modders and Mod Makers.

Dying Light 2 PAKFile Utility A Dying Light 2 (DL2) PAKFile Utility for Modders and Mod Makers. This tool aims to make PAKFile (.pak files) modding a

RHQ Online 12 Aug 26, 2022
Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

Adversarial Training Against Location-Optimized Adversarial Patches arXiv | Paper | Code | Video | Slides Code for the paper: Sukrut Rao, David Stutz,

Sukrut Rao 32 Dec 13, 2022
Crossover Learning for Fast Online Video Instance Segmentation (ICCV 2021)

TL;DR: CrossVIS (Crossover Learning for Fast Online Video Instance Segmentation) proposes a novel crossover learning paradigm to fully leverage rich c

Hust Visual Learning Team 79 Nov 25, 2022
Semi-supervised Implicit Scene Completion from Sparse LiDAR

Semi-supervised Implicit Scene Completion from Sparse LiDAR Paper Created by Pengfei Li, Yongliang Shi, Tianyu Liu, Hao Zhao, Guyue Zhou and YA-QIN ZH

114 Nov 30, 2022
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching(CVPR2021)

CFNet(CVPR 2021) This is the implementation of the paper CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching, CVPR 2021, Zhelun Shen, Yuch

106 Dec 28, 2022
A scikit-learn compatible neural network library that wraps PyTorch

A scikit-learn compatible neural network library that wraps PyTorch. Resources Documentation Source Code Examples To see more elaborate examples, look

4.9k Dec 31, 2022
Pose Detection and Machine Learning for real-time body posture analysis during exercise to provide audiovisual feedback on improvement of form.

Posture: Pose Tracking and Machine Learning for prescribing corrective suggestions to improve posture and form while exercising. This repository conta

Pratham Mehta 10 Nov 11, 2022
A repo with study material, exercises, examples, etc for Devnet SPAUTO

MPLS in the SDN Era -- DevNet SPAUTO Get right to the study material: Checkout the Wiki! A lab topology based on MPLS in the SDN era book used for 30

Hugo Tinoco 67 Nov 16, 2022
Genshin-assets - 👧 Public documentation & static assets for Genshin Impact data.

genshin-assets This repo provides easy access to the Genshin Impact assets, primarily for use on static sites. Sources Genshin Optimizer - An Artifact

Zerite Development 5 Nov 22, 2022
Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.

PHDimGeneralization Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021. Overvie

Tolga Birdal 13 Nov 08, 2022
Traffic4D: Single View Reconstruction of Repetitious Activity Using Longitudinal Self-Supervision

Traffic4D: Single View Reconstruction of Repetitious Activity Using Longitudinal Self-Supervision Project | PDF | Poster Fangyu Li, N. Dinesh Reddy, X

25 Dec 21, 2022
An Active Automata Learning Library Written in Python

AALpy An Active Automata Learning Library AALpy is a light-weight active automata learning library written in pure Python. You can start learning auto

TU Graz - SAL Dependable Embedded Systems Lab (DES Lab) 78 Dec 30, 2022