Zuxin

FSRL. 🚀 A fast safe reinforcement learning library in PyTorch

OSRL. 🤖 Elegant implementations of offline safe RL algorithms in PyTorch

DSRL. 🔥 Datasets and env wrappers for offline safe reinforcement learning

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

cvpo-safe-rl. Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)

safe-mbrl. Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method

safe-rl-robustness. Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)

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

Bullet-Safety-Gym. An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.

Pesudo_Lidar_PointCloud_Carla. Simulate precise LiDAR point cloud data from Carla

mpc-rl. model based reinforcement learning with MPC controller

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

DS-SLAM. C++

my_ubuntu_env. My personal Ubuntu env config

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