Name: Zehong (Jimmy) Cao
Type: User
Company: University of South Australia
Bio: A passionate researcher in humans and artificial intelligence, brain-computer interface, and interactive machine learning.
Location: Adelaide, Australia
Blog: czh513.github.io
Zehong (Jimmy) Cao's Projects
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence
Make autonomous landing rockets using Deep Reinforcement Learning (Unity ML-Agents)
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation
Python Multi-Agent Reinforcement Learning framework
Paper list of multi-agent reinforcement learning (MARL)
An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
A Reinforcement Learning framework for the NAO robot
code for decoding speech as text from neural data
Lightweight, stable, efficient PyTorch implement of reinforcement learning. I want to call this PyTorch implement as "3-Python-file-RL".
NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
This repository contains implementations and illustrative code to accompany DeepMind publications
The source code for an online Human-Agent Interaction (HAI) system, controlling directions (left or right) of Unity games using online EEG signals from an Emotiv EPOC headset
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Awesome Pre-trained Models Toolkit Based on PaddlePaddle(180+ models, including CV, NLP, Audio and Video, Onekey Inference&Serving)
Common used path planning algorithms with animations.
Python library for converting Python calculations into rendered latex.
Awesome-pytorch-list 翻译工作进行中......
Web version of “Neuroevolution of Self-Interpretable Agents” (https://arxiv.org/abs/2003.08165)
Code & data accompanying the ICLR2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
Reinforcement Learning from Hierarchical Critics
Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"