AI for google research football
It's the pytorch implementation of google research football.
A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
翻译 - SEED RL：具有加速的中央推理功能的可扩展，高效的Deep-RL。使用SEED的体系结构在TF2中实现IMPALA和R2D2算法。
This project shall be based on setting up of Google Football Research Environment as an OpenAI gym for code purposes.
Solution to Kaggle's Google Research Football Competition
Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体
Check out the new game server:
翻译 - 签出新的游戏服务器：
A pytorch port of google-research/google-research/robust_loss/
Google SEO Research and Web Traffic Monetization
BERT-NER (nert-bert) with google bert https://github.com/google-research.
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
翻译 - SimCLRv2-大型自我监督模型是强大的半监督学习者
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
翻译 - ALBERT：用于语言表达自我监督学习的Lite BERT
This project hosts security advisories and their accompanying proof-of-concepts related to research conducted at Google which impact non-Google owned code.
翻译 - 此项目托管与在Google进行的研究有关的安全咨询及其随附的概念证明，这些研究会影响非Google拥有的代码。
#自然语言处理#ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
翻译 - ELECTRA：预先训练文本编码器作为鉴别器，而不是生成器
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.