Discover praveen-palanisamy/macad-agents Open Source project

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praveen-palanisamy

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Agents code for Multi-Agent Connected Autonomous Driving (MACAD) described in the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

multiple-object-tracking-lidar

C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud

C++

664

macad-gym

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Python

276

Ape-X-DQN

PyTorch Implementation of Ape-X (Distributed prioritized experience replay) architecture with DQN learner

Python

Robinhood-Insights

A web app to get actionable insights into your Robinhood Portfolio

PHP

Pandaboard-ES

Resources/How-TOs for OMAP4 based Pandaboard ES

C++

webgym

WebGym: Web-browser-based tasks for RL Agents

HTML

OpenCV-2.4.9-for-arm

Prebuilt OpenCV library files for arm v7 cortex-a9 based devices including Pandaboard,I.mx6,ODROID-X

C++

MemReFinder

Finder (File Explorer) App to chat with your Documents and Files powered by LLMs

TypeScript

playwrightgym

PlaywrightGym - Train RL Agents for Web tasks

Python

multi_object_tracking_lidar-release

Release version of multi_object_tracking_lidar ROS package for: Multiple objects detection, tracking and classification from LIDAR scans/point-clouds

openai-retro-contest

Code & experiments done for the transfer learning contest that measures a RL algorithm's ability to generalize from previous experience

Python

praveen-palanisamy.github.io

Praveen Palanisamy's Website/ Blog:

SCSS

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