Deep Learning

HyperAgent - A Simple, Efficient, Scalable and Provable RL Framework

Practically and provably efficient RL under resource constraints!

Mar 23, 2024 1:30 PM Rice University

Yingru LI

HyperAgent - A Simple, Efficient and Scalable RL Framework for Complex Environments

Practically and provably efficient RL under resource constraints!

Jan 13, 2024 1:20 PM Daoyuan Building

Yingru LI

HyperAgent - A Simple, Efficient and Scalable RL Framework for Complex Environments

Towards AGI for Humanity through Efficient Reinforcement Learning

Addressing efficiency chanllenge in RL by HyperFQI algorithm

Oct 21, 2023 2:30 PM Teaching B Building

Yingru LI

Towards AGI for Humanity through Efficient Reinforcement Learning

HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning

TL;DR: We design a practical randomized exploration method to address the sample efficiency issue in online reinforcement learning.

Ziniu Li, Yingru Li, Yushun Zhang, Tong Zhang, Zhi-Quan Luo

HyperDQN - Randomized Exploration for Deep Reinforcement Learning

Dec 14, 2021 12:00 AM NeurIPS 2021

Yingru LI

HyperDQN - Randomized Exploration for Deep Reinforcement Learning

Hidden community detection in social networks

Kun He, Yingru Li, Sucheta Soundarajan, John E Hopcroft