LiqunZhao
My research interests include soft manipulators, detection, estimation and tracking by computer vision for medical imaging, as well as planning and optimization
University of OxfordOxford, UK
Pinned Repositories
A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control
Comprehensive-Version-of-Paper-NLBAC
This is the comprehensive version of the paper "NLBAC: A Neural ODEs-based Framework for Stable and Safe Reinforcement Learning" submitted to L4DC 2024 Conference
Constrained-Decision-Making-Paper-List
Paper list for constrained policy optimization in reinforcement learning.
CS61A
Structure and Interpretation of Computer Programs
cs61b
UC Berkeley Data Structures & Algorithms class (Spring 2018)
cs61b-sp18
self-study of CS61B, the CS course at UC Berkeley by Josh Hug
cs61bsp18
cs61c
Self-study - cs61c
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Neural-ordinary-differential-equations-based-Lyapunov-Barrier-Actor-Critic-NLBAC
This is the code implementation of the Neural ordinary differential equations-based Lyapunov-Barrier Actor-Critic (NLBAC)
LiqunZhao's Repositories
LiqunZhao/A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control
LiqunZhao/Neural-ordinary-differential-equations-based-Lyapunov-Barrier-Actor-Critic-NLBAC
This is the code implementation of the Neural ordinary differential equations-based Lyapunov-Barrier Actor-Critic (NLBAC)
LiqunZhao/cs61b-sp18
self-study of CS61B, the CS course at UC Berkeley by Josh Hug
LiqunZhao/Comprehensive-Version-of-Paper-NLBAC
This is the comprehensive version of the paper "NLBAC: A Neural ODEs-based Framework for Stable and Safe Reinforcement Learning" submitted to L4DC 2024 Conference
LiqunZhao/Constrained-Decision-Making-Paper-List
Paper list for constrained policy optimization in reinforcement learning.
LiqunZhao/CS61A
Structure and Interpretation of Computer Programs
LiqunZhao/cs61b
UC Berkeley Data Structures & Algorithms class (Spring 2018)
LiqunZhao/cs61bsp18
LiqunZhao/cs61c
Self-study - cs61c
LiqunZhao/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
LiqunZhao/deepLearning
**大学李宏毅 Machine Learning 2020 课后作业
LiqunZhao/domain-randomizer
A standalone library to randomize various OpenAI Gym Environments
LiqunZhao/DRL-Pytorch-Tutorial
LiqunZhao/planning_astaropt
LiqunZhao/PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
LiqunZhao/PyTorch-CPO
PyTorch implementation of Constrained Policy Optimization
LiqunZhao/pytorch-trpo
PyTorch implementation of Trust Region Policy Optimization
LiqunZhao/pytorch_CPO
Simple implementation for Constrained Policy Optimization in Pytorch
LiqunZhao/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
LiqunZhao/Reinforce
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
LiqunZhao/RL-CBF-
From Caltech and Umich
LiqunZhao/rl-plotter
:sparkles: A plotter for reinforcement learning (RL)
LiqunZhao/SAC-RCBF
Robust CBF version
LiqunZhao/Safe-Reinforcement-Learning
The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.
LiqunZhao/safe_exp_env
Thrid-party safety-gym safe exploration environments for autonomous driving from Tsinghua
LiqunZhao/soft_manipulator
LiqunZhao/spinningup
An educational resource to help anyone learn deep reinforcement learning.
LiqunZhao/TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
LiqunZhao/zebrafish_tracking