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  • 👋 Hi, I’m Haitong Ma @mahaitongdae. DAE represents the old name of my undergraduate department, department of automotive engineering. It is now School of Vehicle and Mobility at Tsinghua University. After graduating from Tsinghua University, I am fortunate to pursue my PhD at Harvard SEAS working with Prof. Na Li.
  • 👀 I’m interested in the intersection between control, learning and optimization, and broad areas where these techniques could be applied to.
  • 📄 My previous research mostly focus on developing provable learning-based safety guarantees for dynamical systems (by CBF or reachability analysis) using reinforcement learning.
  • 🌱 I’m currently learning about the crazyflies, which is an open-sourced quadrotor developed by Bitcraze.
  • 📫 Feel free to reach me through issues and email!

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Haitong Ma's Projects

recovery-rl icon recovery-rl

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

rlberry icon rlberry

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

rlc-project icon rlc-project

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

safe-control-gym icon safe-control-gym

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

safe_exp_env icon 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

safemac icon safemac

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

safety-gym icon safety-gym

Tools for accelerating safe exploration research.

safety-starter-agents icon safety-starter-agents

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

safety_index_synthesis icon safety_index_synthesis

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

spinningup icon spinningup

An educational resource to help anyone learn deep reinforcement learning.

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