mahaitongdae

Approximate-Dynamic-Programming

ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.

Reachability_Constrained_RL

Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.

safe_exp_env

Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function

Feasible-Actor-Critic

Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.

RLC-project

Project for Prof. Shengbo Eben Li's Reinforcement Learning and Control course in Tsinghua University.

safe-control-gym

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

safety-starter-agents

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

Carla-ppo

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

experiment_driving

Real Vehicle Experiment for Integrated decision and control framwork

mpg

MPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforcement learning algorithms.

safety_rl

crabs

Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations

crazyswarm

A Large Quadcopter Swarm

dcrl

Density Constrained Reinforcement Learning

Feasible-Policy-Optimization

hj_reachability

Hamilton-Jacobi reachability analysis in JAX.

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

koopman_learning_and_control

Repository for Koopman based learning and nonlinear control

la-mbda

LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization

mahaitongdae

Config files for my GitHub profile.

mahaitongdae.github.io

Max-value-Entropy-Search

Max-value Entropy Search for Efficient Bayesian Optimization

optimized_dp

Optimizing Dynamic Programming-Based Algorithms

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

pycma

Python implementation of CMA-ES

recovery-rl

Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.

Safe-Reinforcement-Learning-Baseline

The repository is for safe reinforcement learning baselines.

SafeOpt

Safe Bayesian Optimization

toyota_exp_train

Universal_Robots_ROS_Driver

Universal Robots ROS driver supporting CB3 and e-Series