gargivaidya Goto Github PK

aws-deepracer-controller-simple

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

aws-deepracer-follow-the-leader-sample-project

Learn to deploy an object detection model that enables the AWS DeepRacer device to identify and follow an object.

coding_challenges

Repository for general coding challenges in Python and C++.

covid_diagnosis_cnn

dc_gan

deep-reinforcement-learning-with-python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

deep_rl_algorithms

deepracer_gym

Deepracer in OpenAI gym compatible format

deepracer_joy

Joystick (gamepad) control of the AWS DeepRacer

deepracer_pid_control

Deepracer PID Waypoint Tracking via ROS - Gazebo Simulation

deepracer_teleop

DeepRacer Manual Control Using Joystick

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

dqn_lunar_lander

dubin_model_gymenv

Dubin's Vehicle Model in Gym Environment for Path Tracking using RL Algorithms

face_detection

gargivaidya

gargivaidya.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

hierarchical-actor-critc-hac-

This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.

librealsense

Intel® RealSense™ SDK

object_detection

openai_ros

OpenAI ROS

opencv_learning

parrot_drone_gym_env

Repository for a custom OpenAI Gym compatible environment for the Parrot Drone ANAFI 4K.

parrot_drone_lab_files

pid_control_ardrone

PID controller for AR,Drone. Developed as part of Second-Semester Mini-Project for MSc Robotics at University of Birmingham.

policy_iteration_frozen_lake

pybullet-gym

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

q_learning_frozen_lake