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Bharathkumar Hegde's Projects

autoinclude icon autoinclude

Files to add auto includes in new cpp file => hkedit

barriernet icon barriernet

BarrierNet: differentiable Control Barrier Functions for Learning of Safe Robot Control

bazzingaai icon bazzingaai

AI Project to analyze 3 state of the art AI algorithms to solve the word saving problem.

cav_research_notes icon cav_research_notes

A modern, high customizable, responsive Jekyll theme for documentation with built-in search.

cvfs icon cvfs

Simulation of Virtual file System Using C++

fidar icon fidar

Fridge content detection and analysis

flow icon flow

Computational framework for reinforcement learning in traffic control

hrl_av icon hrl_av

The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.

icode_2014 icon icode_2014

Solutions, testcases, statements, testcase generation files of icode_2014

itsc2020_cav_impact icon itsc2020_cav_impact

SUMO CAV deployment scenarios for [Gueriau and Dusparic 2020] paper presented at The 23rd IEEE International Conference on Intelligent Transportation Systems, 2020.

lane-change-cbf icon lane-change-cbf

Rule-Based Safety-Critical Control Design with Application to Autonomous Lane Change https://arxiv.org/abs/2103.12382

maddpg icon maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

model-based-cbf-av icon model-based-cbf-av

Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function

mpc-cbf icon mpc-cbf

Model Predictive Control with discrete-time Control Barrier Functions (MPC-CBF) for a wheeled mobile robot.

multiagent-particle-envs icon multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

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