ScaleRL is a simple and scalable distributed reinforcement learning framework based on Python and PyTorch

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

Code for paper "Deep Reinforcement Learning based Multi-task Automated Channel Pruning for DNNs"

Pytorch implementation of various distributed reinforcement learning algorithms

Client library for Impala SQL engine

Multi-agents distributed reinforcement learning framework built with PyTorch in the SMAC2 environment

CLI for Impala Database. With syntax highlighting.

Distributed RL platform with modified IMPALA architecture. Implements CLEAR, LASER V-trace modifications along with Attentive and Elite sampling experience replay methods.

Pytorch version implementation of IMPALA. Haven't been finished

Reinforcement Learning 1 course - University of Alberta - Fall 2023

Simple Python Script that imports an Impala Query into an Elastic Search Index

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

Basic Hadoop Course Code

Implement of IMPALA (Importance Weighted Actor-Learner Architectures) with pytorch

Improve your workflow efficiency by connecting to databases and cloud systems effortlessly.

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

Scalable distributed reinforcement learning agents on kubernetes

Run a sequence of sql queries or scripts on a target db

PyTorch IMPALA implementation