Zuxin's repositories
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-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
Pesudo_Lidar_PointCloud_Carla
Simulate precise LiDAR point cloud data from Carla
A-LOAM-FOR-HESAI
Advanced implementation of LOAM, add Hesai Pandar 40p LiDAR support.
Bullet-Safety-Gym
An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
easy-runner
⭐ A lightweight tool for efficiently managing and executing parallel experiments.
my_ubuntu_env
My personal Ubuntu env config
Autonomous-Steering-Agents
Steering Behaviors For Autonomous Characters
highway-env
A minimalist environment for decision-making in autonomous driving
--VRMulticopter
combine multicopter with VR
dreamer-pytorch
Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.
LIBERO
Benchmarking Knowledge Transfer in Lifelong Robot Learning
metadrive
MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning
RL-Safety-Algorithms
Implementations of safe reinforcement learning algorithms
Safe-Reinforcement-Learning-Baseline
The repository is for safe reinforcement learning baselines.
safety-starter-agents
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
scout_base
ROS packages for Scout mobile base
spinningup
An educational resource to help anyone learn deep reinforcement learning.
tianshou
An elegant PyTorch deep reinforcement learning library.
webots_agent
Webots based robotic agents implementation for Reinforcement learning and Spiking Neural Networks