Zihan Ding (@quantumiracle)
github

quantumiracle

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  • Stars
    star
    1,139
  • Global Rank 26,823 (Top 1.0 %)
  • Followers 250
  • Following 89
  • Registered almost 8 years ago
  • Most used languages
    Python
         52.2 %
    Jupyter Notebook
         30.4 %
    ASP     8.7 %
    C++
         4.3 %
    VHDL     4.3 %
  • Location πŸ‡¬πŸ‡§ United Kingdom
  • Country Total Rank 1,332
  • Country Ranking
    Jupyter Notebook
         28
    ASP     42
    VHDL     56
    Python
         1,411
    C++
         6,747

Top repositories

1

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..
Jupyter Notebook
887
star
2

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.
Python
66
star
3

QT_Opt

Q-network with cross-entropy (CE) method for reinforcement learning.
Jupyter Notebook
43
star
4

MARS

MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.
Jupyter Notebook
33
star
5

Cascading-Decision-Tree

Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning
Jupyter Notebook
32
star
6

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.
Python
21
star
7

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
Python
15
star
8

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
Python
8
star
9

RL_RLBench

Reinforcement Learning for RLBench
Python
6
star
10

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.
VHDL
4
star
11

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

Python
3
star
12

RoboTinder

Jupyter Notebook
3
star
13

PointNet_Landmarks_from_Image

Python
2
star
14

Meta-Learning-for-Reinforcement-Learning

Python
2
star
15

UPESI

Code for paper Not Only Domain Randomization: Universal Policy with Embedding System Identification.
Jupyter Notebook
2
star
16

Store

ASP
1
star
17

marl_torch

Jupyter Notebook
1
star
18

Robot_Learning

ASP
1
star
19

ion-trap-tomography-experiment

Python
1
star
20

Glints-detection

C++
1
star
21

Robot_Learning2

Python
1
star
22

Robosuite-Panda-IK

Python
1
star
23

Consistency_Model_For_Reinforcement_Learning

Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24
Python
1
star