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pydeco

PyDeco - Experiments in Decentralized and Distributed Control Algorithms

pythonlinearnonlinearcontrol

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

pytorch-cpo

PyTorch implementation of Constrained Policy Optimization

qlearningproject

Reinforcement Learning-based Mobile Robot Navigation

quickest-detection-fdi-remote-estimation

Code for our paper titled "Quickest detection of false data injection in remote state estimation" published at IEEE ISIT 2021.

racinglmpc

Implementation of the Learning Model Predictive Controller for autonomous racing

recent-safe-rl-papers-with-code

This repo lists most recent paper with their code in safe RL, some of papers without available code is not included. Welcome to edit this list if more papers found.

reinforcement-learning

Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.

reinforcement-learning-for-adaptive-optimal-stationary-control-of-linear-stochastic-systems

Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems." arXiv preprint arXiv:2107.07788 (2021)."}

reinforcement-learning-for-optimal-feedback-control-simulation

reinforcement-learning-for-real-time-pricing-and-scheduling-control-in-ev-charging-stations

Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations

reinforcement_learning_and_game_theory

Collection of materials and code samples on reinforcement learning / optimal control and game theory

resilient-consensus-based-marl

This repository includes a realization of the resilient projection-based consensus actor-critic algorithm that is resilient to adversarial attacks on communication channels.

resilient-mpc-for-cyber-physical-multi-agent-systems-under-dos-attacks

resilientdistributedmtl

Code for Neurips 2020 paper "Byzantine Resilient Distributed Multi-Task Learning"

risk-sensitive-rl

Adaptive Risk Tendency Implicit Quantile Network for Drone Navigation under Partial Observability.

rl-mpc

rl_multi_rotor_landing

rl_rvo_nav

The source code of the [RA-L] paper "Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards"

rl_tracking_pi_algorithm_single_agent

the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neural networks to approximate the control policy and iteratively updates the networks to improve the system's performance.

rl_tsp_4static

Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper

roblearn

ROS Robotic Deep Learning

robust-and-cooperative-formation-control-of-nonlinear-multi-agent-systems

Yang's PhD work

saac-starcraft-adversary-agent-challenge

safe-control-gym

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and reinforcement learning

safe-distributional-actor-critic

Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)

safe-reinforcement-learning-baselines

The repository is for safe reinforcement learning baselines.

safemac

Contains code for Near-Optimal Multi-Agent Learning for Safe Coverage Control

safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

safety_index_synthesis

Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.