liuzuxin/Deep-Q-Network-and-Model-Predictive-Control-Project

This repository has been archived on 04/Apr/2022
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Updated about 4 years ago

liuzuxin/Deep-Q-Network-and-Model-Predictive-Control-Project

liuzuxin

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Implementation of Deep Q-Network（DQN）and Model Predictive Control, and their evaluation on the Quanser robot platform

OSRL

🤖 Elegant implementations of offline safe RL algorithms in PyTorch

FSRL

🚀 A fast safe reinforcement learning library in PyTorch

MPC_template-model_predictive_control_for_reinforcement_learning

Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment

DSRL

🔥 Datasets and env wrappers for offline safe reinforcement learning

safe-mbrl

Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method

cvpo-safe-rl

Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)

safe-rl-robustness

Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)

Pesudo_Lidar_PointCloud_Carla

Simulate precise LiDAR point cloud data from Carla

easy-runner

⭐ A lightweight tool for efficiently managing and executing parallel experiments.

mpc-rl

model based reinforcement learning with MPC controller

my_ubuntu_env

My personal Ubuntu env config

RL_Project_Results

Store the experiment results (model and data) of DQN and MPC

Jupyter Notebook