Renhao Lu

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Common Coauthors
Coauthor Papers Together
Junbo Tan 2
Chenyang Cao 2
Zichen Yan 1
Zichen Yan 1
Xueqian Wang 1
Xueqian Wang 1
Commonly Cited References
Action Title Year Authors # of times referenced
+ Behavioral Cloning from Observation 2018 Faraz Torabi
Garrett Warnell
Peter Stone
1
+ PDF Chat Safe Reinforcement Learning via Shielding 2018 Mohammed Alshiekh
Roderick Bloem
Rüdiger Ehlers
Bettina Könighofer
Scott Niekum
Ufuk Topcu
1
+ Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning 2019 Xue Bin Peng
Aviral Kumar
Grace Zhang
Sergey Levine
1
+ Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems 2020 Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
1
+ Conservative Q-Learning for Offline Reinforcement Learning 2020 Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
1
+ PDF Chat Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning 2020 Yijiong Lin
Jiancong Huang
Matthieu Zimmer
Yisheng Guan
Juan Rojas
Paul Weng
1
+ PDF Chat Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones 2021 Brijen Thananjeyan
Ashwin Balakrishna
Suraj Nair
Michael Luo
Krishnan Srinivasan
Minho Hwang
Joseph E. Gonzalez
Julian Ibarz
Chelsea Finn
Ken Goldberg
1
+ A Minimalist Approach to Offline Reinforcement Learning 2021 Scott Fujimoto
Shixiang Gu
1
+ PDF Chat Constraints Penalized Q-learning for Safe Offline Reinforcement Learning 2022 Haoran Xu
Xianyuan Zhan
Xiangyu Zhu
1
+ PDF Chat Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning 2022 Lukas Brunke
Melissa Greeff
Adam W. Hall
Zhaocong Yuan
Siqi Zhou
Jacopo Panerati
Angela P. Schoellig
1
+ PDF Chat Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World 2022 Laura Smith
J. Chase Kew
Xue Bin Peng
Sehoon Ha
Jie Tan
Sergey Levine
1
+ panda-gym: Open-source goal-conditioned environments for robotic learning 2021 Quentin Gallouédec
Nicolas Cazin
Emmanuel Dellandréa
Liming Chen
1
+ Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research 2018 Matthias Plappert
Marcin Andrychowicz
Alex Ray
Bob McGrew
Bowen Baker
Glenn Powell
Jonas Schneider
Joshua W.D. Tobin
Maciek Chociej
Peter Welinder
1
+ Hindsight Experience Replay 2017 Marcin Andrychowicz
Filip Wolski
Alex Ray
Jonas Schneider
Rachel H. Fong
Peter Welinder
Bob McGrew
Joshua W.D. Tobin
Pieter Abbeel
Wojciech Zaremba
1
+ PDF Chat Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning 2022 Linrui Zhang
Zichen Yan
Li Shen
Shoujie Li
Xueqian Wang
Dacheng Tao
1
+ PDF Chat Learning Goal-Oriented Non-Prehensile Pushing in Cluttered Scenes 2022 Nils Dengler
David Großklaus
Maren Bennewitz
1
+ Constrained Decision Transformer for Offline Safe Reinforcement Learning 2023 Zuxin Liu
Zijian Guo
Yihang Yao
Zhepeng Cen
Wenhao Yu
Tingnan Zhang
Ding Zhao
1
+ Swapped goal-conditioned offline reinforcement learning 2023 Wenyan Yang
Huiling Wang
Dingding Cai
Joni Pajarinen
Joni-Kristen Kämäräinen
1
+ PDF Chat A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems 2023 Rafael Figueiredo Prudencio
Marcos R. O. A. Máximo
Esther Luna Colombini
1
+ Distance Weighted Supervised Learning for Offline Interaction Data 2023 Joey Hejna
Jensen Gao
Dorsa Sadigh
1
+ Safe Offline Reinforcement Learning with Real-Time Budget Constraints 2023 Qian Lin
Bo Tang
Zifan Wu
Chao Yu
Shangqin Mao
Qianlong Xie
Xingxing Wang
Dong Wang
1