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I'm currently a PhD student at UC San Diego, advised by Prof Xiaolong Wang. Before coming to UC San Diego, I received my B.E. in Software Engineering from Nankai University in 2019

I'm interested in reinforcement learning, machine learning, robotics and some system stuff. Specifically, I'd like to build intelligent agent, which make decision with information coming from different sources

Email  /  Google Scholar  /  Github  /  Linkedin

I'm open to discussion or collaboration. Feel free to drop me an email if you're interested in my research.

Ruihan Yang's Projects

bullet3 icon bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

ed icon ed

A Jekyll theme for minimal editions :book:

gitignore icon gitignore

A collection of useful .gitignore templates

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

info_geometry icon info_geometry

Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"

metaworld icon metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

modular-rl icon modular-rl

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

offlinerl icon offlinerl

Repo for offline reinforcement learning methods

pscondaenvs icon pscondaenvs

Implementation of Conda's activate/deactivate functions in Powershell.

soft-module icon soft-module

Code for "Multi-task Reinforcement Learning with Soft Modularization"

torchrl icon torchrl

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

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