Zihan Ding

Popular-RL-Algorithms. PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Reinforcement_Learning_for_Traffic_Light_Control. Apply deep reinforcement learning methods including DQN, DDPG for traffic light control in simulation (discrete environment), to prove the 'Green Wave' phenomenon in intelligent traffic system.

QT_Opt. Q-network with cross-entropy (CE) method for reinforcement learning.

MARS. MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.

Cascading-Decision-Tree. Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning

Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations. Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms include DDPG, PPO.

Consistency_Model_For_Reinforcement_Learning. Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24

Robotic_Door_Opening_with_Tactile_Simulation. Official code (simulation part) for paper Sim-to-Real Transfer for Robotic Manipulation with Tactile Sensory Zihan Ding, Ya-Yen Tsai, Wang Wei Lee, Bidan Huang International Conference on Intelligent Robots and Systems (IROS) 2021

nash-dqn. Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games. Zihan Ding, Dijia Su, Qinghua Liu, Chi Jin

RL_RLBench. Reinforcement Learning for RLBench

shortcut-torch. Python

Consistency-Trajectory-Model. Python

On_board_FNN_qubit_discrimination. Sigle qubit state discrimination with machine learning method (neural networks); An on board implementation with vivado FPGA + ARM, for fast qubit discrimination and feedback control in real physics system.

RL-with-AutoEncoder-for-Learning-from-Image-Pixels. Python

marl_tf. A simple OpenAI Gym environment for single and multi-agent reinforcement learning

UPESI. Code for paper Not Only Domain Randomization: Universal Policy with Embedding System Identification.

franka_panda_robot_control. C

PointNet_Landmarks_from_Image. Python

Robosuite-Panda-IK. Python

robolite. This is a fork of Surreal Robotics Suite that enables support to domain randomization and inverse kinematics (IK).

Meta-Learning-for-Reinforcement-Learning. Python

marl_torch. Jupyter Notebook

ion-trap-tomography-experiment. Python

PyRep. A toolkit for robot learning research.

Robot_Learning2. Python

Robot_Learning. ASP

adversarial-robustness-toolbox. Python

webpage. HTML

Glints-detection. C++

FinRL. FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

Machine_Learning_Basic_Algorithms-Pytorch. Pytorch based codes. Implementations of most popular algorithms at present.

human_prior_games. Jupyter Notebook

Store. ASP

transformers-pytorch. Python