Lalith Kishore Sai Macherla Sathish's Projects
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.
A curated list of references for MLOps
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Amazon Web Services (AWS) Guide. Learn all about Amazon Web Services Tools, Services, and Certifications.
Images and notebook for camera calibration
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
The main firmware for the Crazyflie Nano Quadcopter.
This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
Inclined Drone landing using deep reinforcement learning
Config files for my GitHub profile.
MADDPG in Ray/RLlib
Repo containing code for multi-agent deep reinforcement learning (MADRL).
Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Starter Code for the Course 1 project of the Udacity Self-Driving Car Engineer Nanodegree Program
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
There will be updates later
The official code base of Shared Experience Actor-Critic (NeurIPS2020)
UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention
Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotlight)