the portable Python dataframe library

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

Adaptive Attention Span for Reinforcement Learning

使用 python 操作大数据的各种组件

implementation of distributed reinforcement learning with distributed tensorflow

Scalable distributed reinforcement learning agents on kubernetes

This repository focuses on gathering and making a curated list resources to learn Hadoop for FREE.

Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation

A Test-Implementation of the IMPALA algorithm (by deepmind 2018)

PyTorch IMPALA implementation

Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)

同步Hive数据仓库数据到Elasticsearch的小工具

This repository contains implementations for training Super Mario Bros agents using reinforcement learning, featuring standardized preprocessing pipelines and serving as a reproducible RL benchmark environment.

This repository is implementation of distributed reinforcement learning algorithm using pytorch, Redis and ray.

Pytorch version implementation of IMPALA. Haven't been finished

BigData Engineering Capstone Project with Tech-stack : Linux, MySQL, sqoop, HDFS, Hive, Impala, SparkSQL, SparkML, git