mahaitongdae

Approximate-Dynamic-Programming

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

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.

dbo

Distributed Bayesian Optimization for Multi-Agent Systems

Feasible-Actor-Critic

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

Reachability_Constrained_RL

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

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

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

safety-starter-agents

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

Safety_Index_Synthesis

Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.

mahaitongdae/Safety_Index_Synthesis

Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.

mahaitongdae/crazyflie-firmware

The main firmware for the Crazyflie Nano Quadcopter, Crazyflie Bolt Quadcopter and Roadrunner Positioning Tag.

mahaitongdae/dbo

Distributed Bayesian Optimization for Multi-Agent Systems

mahaitongdae/AA203-Homework

Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.

mahaitongdae/cliffwalk

mahaitongdae/crazyswarm

A Large Quadcopter Swarm

mahaitongdae/diffusion_policy

[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

mahaitongdae/dist_bo_turtlebot

mahaitongdae/Exploration-in-RL

mahaitongdae/gnn-motion-planning

The official repo for NeurIPS 2021 paper 'Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks'

mahaitongdae/goal_publisher

mahaitongdae/gym-pybullet-drones

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

mahaitongdae/gym-underactuated

Modified OpenAI gym environments for continuous control of underactuated systems

mahaitongdae/IsaacGymEnvs

Isaac Gym Reinforcement Learning Environments

mahaitongdae/joint_comm_sensing

Joint communication and sensing

mahaitongdae/lvrep-rl

mahaitongdae/lvrep-rl-cloned

mahaitongdae/mahaitongdae

Config files for my GitHub profile.

mahaitongdae/Multi-Agent-Path-Finding

Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*

mahaitongdae/MWM

Masked World Models for Visual Control

mahaitongdae/PathPlanning

Common used path planning algorithms with animations.

mahaitongdae/quad_sim

Quadrotor simulator for training RL-based policies.

mahaitongdae/rlberry

An easy-to-use reinforcement learning library for research and education.

mahaitongdae/rllib-random-feature

mahaitongdae/rotation_based_calibration

project for Harvard CS283.

mahaitongdae/SafeMaC

Contains code for Near-Optimal Multi-Agent Learning for Safe Coverage Control

mahaitongdae/Sensory-encoding

mahaitongdae/slurm-ray-cluster

mahaitongdae/steady.github.io

mahaitongdae/uav_trajectories

Helper scripts and programs for trajectories