activity
20222026
most citedLifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models

57 citations · 57 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Cooperative-Competitive Team Play of Real-World Craft Robots

Rui Zhao, Xihui Li, Yizheng Zhang +6

Multi-agent deep Reinforcement Learning (RL) has made significant progress in developing intelligent game-playing agents in recent years. However, the efficient training of collect…

cs.RO2024

Learning Highly Dynamic Behaviors for Quadrupedal Robots

Chong Zhang, Jiapeng Sheng, Tingguang Li +6

Learning highly dynamic behaviors for robots has been a longstanding challenge. Traditional approaches have demonstrated robust locomotion, but the exhibited behaviors lack diversi…

cs.RO2023

Learning Terrain-Adaptive Locomotion with Agile Behaviors by Imitating Animals

Tingguang Li, Yizheng Zhang, Chong Zhang +5

In this paper, we present a general learning framework for controlling a quadruped robot that can mimic the behavior of real animals and traverse challenging terrains. Our method c…

cs.RO2023★ 57 cited

Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models

Lei Han, Qingxu Zhu, Jiapeng Sheng +16

Knowledge from animals and humans inspires robotic innovations. Numerous efforts have been made to achieve agile locomotion in quadrupedal robots through classical controllers or r…

cs.LG2022

Relative Policy-Transition Optimization for Fast Policy Transfer

Jiawei Xu, Cheng Zhou, Yizheng Zhang +2

We consider the problem of policy transfer between two Markov Decision Processes (MDPs). We introduce a lemma based on existing theoretical results in reinforcement learning to mea…